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The DARPA Knowledge Sharing Effort: Progress Report Ramesh S. Patil USC Info. Sci. Inst. Marina del Rey, California Richard E. Fikes Stanford University Palo Alto, California Peter F. Patel-Schneider AT&T Bell Labs Murray Hill, New Jersey Don Mckay Paramax Systems Corp. Paoli, Pennsylvania Tim Finin
open this document and view contentsftp://ksl.stanford.edu/pub/knowledge-sharing/generic-kb/generic-kb.ps, 19930504
A Generic Knowledge-Base Access Protocol Peter D. Karp Artificial Intelligence Center SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 pkarp@ai.sri.com Thomas Gruber, Fritz Mueller Knowledge Systems Laboratory Stanford University 701 Welch Rd, Bldg C Palo Alto, CA 94304 gruber@hpp.stanford.edu
open this document and view contentsftp://ksl.stanford.edu/pub/knowledge-sharing/papers/dl-spec.ps, 19930709
Working Version (Draft): Description Logic Specification from the KRSS Effort Peter F. Patel-Schneider, co-chair Bill Swartout, co-chair 30 June 1993 1 Overview This is the KRSS group specification for description-logic-based KR systems. It describes the required behavior for compliant KR systems. This
open this document and view contentsftp://ksl.stanford.edu/pub/AIM-94/ICU-Data/ICU-plots.ps, 19931008
0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 x 105 100 150 200 250 arterial heartrate (bpm) 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 x 105 100 150 200 250 ecg heartrate (bpm) 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 x 105 20 40 60 80 100 120 arterial pressure (mean) (mm Hg) 0.85 0.9 0.95 1 1.05 1.1 1.15 1.2 1.25
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KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory December 1991 Technical Report KSL 92-59 Updated February 1993 Generative Design Rationale: Beyond the Record and Replay Paradigm by Thomas R. Gruber Daniel M. Russell To
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Machine-generated Explanations of Engineering Models: A Compositional Modeling Approach Thomas R. Gruber and Patrice O. Gautier Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, CA 94304 gruber@ksl.stanford.edu
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AAAI PRESS Technical Reports Series American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025-3496 Nonexclusive Permission to Distribute Title of Paper: Author Name(s): Technical Report Title: Symposium Organizer(s): 1. The undersigned, desiring to have the above
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Queries Independent of Updates Alon Y. Levy Department of Computer Science Stanford University Stanford, California, 94305 levy@cs.stanford.edu Yehoshua Sagivy Department of Computer Science Hebrew University Jerusalem, Israel sagiv@cs.huji.ac.il
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Equivalence, Query-Reachability, and Satisfiability in Datalog Extensions Extended Abstract Alon Y. Levy Stanford University levy@cs.stanford.edu Inderpal Singh Mumick AT&T Bell Laboratories mumick@research.att.com Yehoshua Sagivy Hebrew University sagiv@cs.huji.ac.il Oded Shmueliz Technion|Israel
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Exploiting Irrelevance Reasoning to Guide Problem Solving Alon Y. Levy Dept. of Computer Science Stanford University Stanford, California 94305 (levy@cs.stanford.edu) Yehoshua Sagiv Dept. of Computer Science Hebrew University Jerusalem, Israel (sagiv@cs.huji.ac.il)
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Task Modeling with Reusable Problem-Solving Methods Henrik Eriksson Yuval Shahar Samson W. Tu Angel R. Puerta Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University School of Medicine Stanford, CA 94305-5479, U.S.A. June 4, 1992
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Plug-and-Play: Construction of Task-Specific Expert-System Shells Using Sharable Context Ontologies Eckart Walther, Henrik Eriksson, and Mark A. Musen Medical Computer Science Group, Knowledge Systems Laboratory Stanford University Stanford, California 94305-5479 email: fwalther, eriksson,
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revised version - January 2, 1994 _________________________ Invited paper presented at the 16th Wittgenstein Symposium, Kirchberg, Austria, August 1993. To appear in R. Casati, B. Smith and G. White (eds.), Philosophy and the Cognitive Sciences, Vienna: H lder-PichlerTempsky, 1994. The Ontological Level
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KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory August 1990 Technical Report KSL 90-62 The Development of Large, Shared Knowledge-Bases: Collaborative Activities at Stanford by Thomas R. Gruber A collection of papers
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KSL 90-83 Large Knowledge Bases for Engineering: The How Things Work Project of the Stanford Knowledge Systems Laboratory Edward Feigenbaum Robert Engelmore Thomas Gruber Yumi Iwasaki Stanford University Knowledge Systems Laboratory 701 Welch Road, Bldg. C Palo Alto, California, USA 94305 November 1990
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KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory February 1990 Technical Report KSL 90-61 Intelligent Assistant Systems: Support for Integrated Human-Machine Systems by Guy Boy and Thomas R. Gruber Appeared in the
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Knowledge Systems Laboratory September 1990 Report No. KSL 90-64 Toward the Engineer's Associate: A National Computational Infrastructure for Engineering A Proposed Initiative by R. S. Engelmore J. M. Tenenbaum KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford,
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How Things Work: Knowledge-based Modeling of Physical Devices Thomas Gruber and Yumi Iwasaki Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, CA 94304 Background The science and technology of Artificial Intelligence is about 35 years old. During its first decade,
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KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory August 8, 1991 Technical Report KSL 90-45 Design Knowledge and Design Rationale: A Framework for Representation, Capture, and Use by Thomas R. Gruber and Daniel M. Russell
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KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory November 1989 Technical Report KSL 89-87 The Use of Formally-Represented Engineering Knowledge to Support Human Communication and Memory by Thomas R. Gruber Presented at
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1 Knowledge Systems Laboratory August 1990 Report No. KSL 90-53 The Role of Standard Knowledge Representation for Sharing Knowledge-Based Technology1 by Thomas Gruber KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 1Presented at the
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Speeding Up Inferences in Large Knowledge Bases Alon Y. Levy AT&T Bell Laboratories 600 Mountain Ave., Room 2C-406, Murray Hill, NJ, 07974 levy@research.att.com Richard E. Fikes KSL, Stanford University 701 Welch Road, Bldg. C Palo Alto, California 94304 (fikes@cs.stanford.edu) Yehoshua Sagiv Dept. of
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Relevance Reasoning to Guide Compositional Modeling Alon Y. Levy and Yumi Iwasaki Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. C, Palo Alto, CA 94304 Hiroshi Motoda Advanced Research Laboratory Hitachi, Ltd. Hatoyama, Saitama 350-03, Japan
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Constraints and Redundancy in Datalog Alon Levy Dept. of Computer Science Stanford University Stanford, CA 94305 (alevy@cs.stanford.edu) Yehoshua Sagivy Dept. of Computer Science Hebrew University Jerusalem, Israel (sagiv@cs.huji.ac.il)
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-92-41.ps, 19940113
Knowledge Systems Laboratory April 1992 Report No. KSL 92-41 A Personal View of Expert Systems: Looking Back and Looking Ahead by Edward A. Feigenbaum KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 2 A Personal View of Expert Systems: Looking
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1. Introduction..................................................................................................................1 1.1 Simulation.......................................................................................................1 1.2 Qualitative
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1. Introduction .....................................................................................2 2. Model-based reasoning about device behavior..............................................2 3. Difficulty with reasoning with multiple models.............................................4 3.1
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Toward a Knowledge Medium for Collaborative Product Development Thomas R. Gruber Stanford Knowledge Systems Laboratory 701 Welch Road, Building C Palo Alto, CA 94304 gruber@sumex-aim.stanford.edu Jay M. Tenenbaum EIT, Incorporated 459 Hamilton Ave, Suite #100 Palo Alto, CA 94301 jmt@eitech.com Jay C.
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-91-10.ps, 19940113
The Role of Common Ontology in Achieving Sharable, Reusable Knowledge Bases Thomas R. Gruber Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, CA 94304 gruber@sumex-aim.stanford.edu January 31,1991
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KQML Overview An Overview of KQML: A Knowledge Query and Manipulation Language KQML Advisory Group with major contributions from Tim Finin Don McKay Rich Fritzson March 2, 1992
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1 On the Relationship between Model Abstraction and Causality: Variance of Causal Ordering under Abstraction Operations Yumi Iwasaki Knowledge Systems Laboratory Stanford University 701 Welch Rd., Palo Alto, CA 94304, USA Appeared in the Proceedings of the Pacific Rim International Conference on
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An Extended SQL for Temporal Data Management in Clinical Decision-Support Systems Amar K. Das, Samson W. Tu, Gretchen P. Purcell, Mark A. Musen Section on Medical Informatics Stanford University School of Medicine Stanford, California 94305-5479
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Qualitative Structural Analysis Using Diagrammatic Reasoning Shirley Tessler*, Yumi Iwasaki* and Kincho Law** *Knowledge Systems Laboratory **Civil Engineering Department Stanford University Stanford University 701 Welch Road, Bldg C Terman Engineering Center Stanford, California 94305 Stanford,
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1 How Things Work Stanford University How Things Work -- Project Overview -- 1 Introduction....................................................................................2 1.1 The Problem ............................................................................2 1.2 Research
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Knowledge Systems Laboratory November 1991 Report No. KSL 91-69 Model Generation and Simulation of Device Behavior with Continuous and Discrete Changes by Yumi Iwasaki Chee Meng Low KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 1.
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1 Knowledge Sharing Technology Stanford University Knowledge Sharing Technology -- Project Overview -- 1. Introduction....................................................................................2 1.1. The Problem ............................................................................2 1.2.
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Knowledge Systems Laboratory October 1993 Report No. KSL 93-63 Applications of Artificial Intelligence to Semiconductor Modeling by John L. Mohammed and Paul Losleben KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 This research was supported
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1 An Ontology of Meta-Level Categories Nicola Guarino, Massimiliano Carrara, and Pierdaniele Giaretta LADSEB-CNR Int. Rep. 6/93 Substantially revised version - January 16, 1994
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The Role of Reversible Grammars in Translating Between Representation Languages Jeffrey Van Baalen Computer Science Department P.O.Box 3682 University of Wyoming Laramie, WY 82071 Richard E. Fikes Knowledge Systems Laboratory Stanford University 701 Welch Rd., Bldg. C, Stanford, CA 94304 Topic Area:
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CFRL: A Language for Specifying the Causal Functionality of Engineered Devices Marcos Vescovi Yumi Iwasaki Richard Fikes B. Chandrasekaran Knowledge Systems Laboratory Laboratory for AI Research Stanford University The Ohio State University 701 Welch Road, Bldg C 217 B, Bolz Hall, 2036 Neil Avenue Palo
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How Things Are Intended to Work: Capturing Functional Knowledge in Device Design Yumi Iwasaki Richard Fikes Marcos Vescovi B. Chandrasekaran Knowledge Systems Laboratory Laboratory for AI Research Stanford University The Ohio State University 701 Welch Road, Bldg C 217 B, Bolz Hall, 2036 Neil Avenue
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-92-59.ps, 19940118
KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory December 1991 Technical Report KSL 92-59 Updated February 1993 Generative Design Rationale: Beyond the Record and Replay Paradigm by Thomas R. Gruber Daniel M. Russell To
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-92-57.ps, 19940118
KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory June 1992 Technical Report KSL 92-57 Model Formulation as a Problem Solving Task: Computer-assisted Engineering Modeling by Thomas R. Gruber To appear in special issue on
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-90-65.ps, 19940127
Automated Model Selection using Context-Dependent Behaviors P. Pandurang Nayak Knowledge Systems Lab., 701 Welch Road, Bldg. C, Palo Alto, CA 94304. Leo Joskowicz IBM, Watson Res. Ctr., P.O. Box 704, Yorktown Heights, NY 10598. Sanjaya Addanki IBM, Watson Res. Ctr., P.O. Box 704, Yorktown Heights, NY
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Order of Magnitude Reasoning using Logarithms P. Pandurang Nayak AI Research Branch, Mail Stop 269-2 NASA Ames Research Center Moffett Field, CA 94035. nayak@ptolemy.arc.nasa.gov
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-92-31.ps, 19940127
Causal Approximations P. Pandurang Nayak Knowledge Systems Laboratory, Stanford University, 701 Welch Road, Bldg. C, Palo Alto, CA 94304. nayak@cs.stanford.edu
open this document and view contentsftp://ksl.stanford.edu/pub/CML/cml.ps, 19940131
CML: A Compositional Modeling Language This is a draft of a document in preparation and describes work in progress by the authors. Brian Falkenhainer Adam Farquhar Daniel Bobrow Richard Fikes Ken Forbus Tom Gruber Yumi Iwasaki Ben Kuipers January 31, 1994 January 31, 1994 D R A F T i Contents 1
open this document and view contentsftp://ksl.stanford.edu/pub/rich.ps, 19940203
Contents 1 Introduction 1 1.1 What is real time : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 1.2 Existing work : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 1.3 Contributions : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 5 1.4 A
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Acquiring (Ir)relevance Knowledge for Problem Solving Alon Levy and Hiroshi Motoda Advanced Research Laboratory Hitachi, Ltd. Hatoyama, Saitama 350-03, Japan Yumi Iwasaki Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. C, Palo Alto, CA 94304.
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-93-23.ps, 19940208
The DARPA Knowledge Sharing Effort: Progress Report Ramesh S. Patil USC Info. Sci. Inst. Marina del Rey, California Richard E. Fikes Stanford University Palo Alto, California Peter F. Patel-Schneider AT&T Bell Labs Murray Hill, New Jersey Don Mckay Paramax Systems Corp. Paoli, Pennsylvania Tim Finin
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Knowledge Systems Laboratory June 1992 Report No. KSL 92-54 Towards a formal representation of device functionality by Jean-Charles BONNET KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Towards a formal representation of device functionality
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Automated Model Selection for Simulation Yumi Iwasaki Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. C Palo Alto, California, 94304 Email: iwasaki@cs.stanford.edu Alon Y. Levy AT&T Bell Laboratories 600 Mountain Ave., Room 2C-406 Murray Hill, NJ 07974 Email: levy@research.att.com
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-94-10.ps, 19940217
A Causal Functional Representation Language With Behavior-Based Semantics Yumi Iwasaki, Marcos Vescovi, Richard Fikes Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. C, Palo Alto, CA 94304 B. Chandrasekaran Laboratory for AI Research Dept. of Computer Information Science The Ohio
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Expert Systems: Principles and Practice* Edward A. Feigenbaum Professor of Computer Science Stanford University Most applications of the Artificial Intelligence (AI) science and technology are of a type called Expert Systems. An Expert System (ES) is a computer program that reasons using knowledge to
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Knowledge Systems Laboratory Report No. KSL 94-13 February 1994 A probabilistic ATMS by Sampath Srinivas srinivas@ksl.stanford.edu KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, CA 94305
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Knowledge Systems Laboratory Report No. KSL 94-15 February 1994 Building diagnostic models from functional schematics by Sampath Srinivas srinivas@ksl.stanford.edu KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, CA 94305
open this document and view contentsftp://ksl.stanford.edu/pub/knowledge-sharing/papers/shade-cera.ps, 19940308
SHADE: Technology for Knowledge-Based Collaborative Engineering James G. McGuire Daniel R. Kuokka Lockheed Palo Alto Research Laboratories 3251 Hanover Street, O/96-20 B/254F Palo Alto, Ca. 94304-1191 USA kuokka@aic.lockheed.com, mcguire@aic.lockheed.com Jay C. Weber Jay M. Tenenbaum Enterprise
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Knowledge Systems Laboratory Report No. KSL 94-14 February 1994 A probabilistic approach to hierarchical model-based diagnosis by Sampath Srinivas srinivas@ksl.stanford.edu KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, CA 94305
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A Problem-Solving Model for Episodic Skeletal-Plan Refinement Samson Tu, Yuval Shahar, John Dawes, James Winkles, Angel Puerta, Mark Musen Medical Computer Science Group Knowledge Systems Laboratory Departments of Medicine and Computer Science Stanford University School of Medicine Stanford, CA
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To appear in Jon Doyle, Piero Torasso, & Erik Sandewall, Eds., Fourth International Conference on Principles of Knowledge Representation and Reasoning, Gustav Stresemann Institut, Bonn, Germany, Morgan Kaufmann, 1994. Available as Stanford Knowledge Systems Laboratory technical report KSL-94-18. An
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Generating Explanations of Device Behavior Using Compositional Modeling and Causal Ordering Patrice O. Gautier and Thomas R. Gruber Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, CA 94304 gautier@ksl.stanford.edu
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Knowledge Systems Laboratory May 1994 Report No. KSL 94-23 Embedded Planning by Philippe Morignot A reduced version of this paper will appear in: Proceedings of the Second International Conference on A.I. Planning Systems (AIPS'94), Chicago, IL, June 1994. KNOWLEDGE SYSTEMS LABORATORY Department of
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Knowledge Systems Laboratory April 1994 Report No. KSL 94-25 Planning from First Principles for Geometric Constraint Satisfaction by Sanjay Bhansali Glenn A. Kramer KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Planning from First Principles
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Sigmoidal Theory John Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106
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Probabilities, Possibilities, and Fuzzy Sets John Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106 January 24, 1994
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Numerical Interval Simulation: Bounding Behaviors of Non-Monotonic Systems* Marcos Vescovi, Adam Farquhar, and Yumi Iwasaki Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. #C CA 94304 Palo Alto vescovi, axf, iwasaki@ksl.stanford.edu
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Back to the Future: Forward versus backward search for real-time planning Richard Washington Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg C Palo Alto, California 94304 email: rw@cs.stanford.edu phone: (415) 725-3859
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Practical Real-Time Planning Richard Washington and Barbara Hayes-Roth Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, California 94304 email: rw@cs.stanford.edu,bhr@hpp.stanford.edu phone: (415) 725-3859
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1 Ontology-Based Configuration of Problem-Solving Methods and Generation of Knowledge-Acquisition Tools: Application of PROT G -II to Protocol-Based Decision Support Samson W. Tu*, Henrik Eriksson, John Gennari, Yuval Shahar, Mark A. Musen Section on Medical Informatics Stanford University School of
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Knowledge Systems Laboratory December 1991 Report No. KSL 91-73 (updated March 1992) KASE: An Integrated Environment for Software Design by Sanjay Bhansali H. Penny Nii Appears in Proc. of 2nd International Conference on AI in Design 1992. KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science
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1 The Proceedings of the AAAI Spring Symposium on Artificial Intelligence in Medicine, Stanford, CA, March 1992 Protocol-Based Therapy Management for Graft-Versus-Host Disease Samson Tu, Yuval Shahar, Mark Musen Section on Medical Informatics Stanford University School of Medicine Stanford, CA
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A Methodology for Determining Patients Eligibility for Clinical Trials S. W. Tu1, C. A. Kemper2,4,5, N. M. Lane1, R. W. Carlson3, M. A. Musen1 1Section on Medical Informatics, 2Division of Infectious Diseases and Geographic Medicine, 3Division of Oncology, Department of Medicine, Stanford University
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1 A Problem-Solving Architecture for Managing Temporal Data and their Abstractions Yuval Shahar, Samson W. Tu, Amar K. Das, Mark A. Musen Section on Medical Informatics Stanford University School of Medicine Stanford, CA 94305-5479 1. Introduction Representing and reasoning about temporal information
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Episodic Monitoring of Time-Oriented Data for Heuristic Skeletal- Plan Refinement Samson W. Tu, Michael G. Kahn,* Mark A. Musen, Jay C. Ferguson,** Edward H. Shortliffe, Lawrence M. Fagan Medical Computer Science Group Knowledge Systems Laboratory Departments of Medicine and Computer Science Stanford
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Knowledge Systems Laboratory April 1992 Report No. KSL 92-33 Distributed Intelligent Control and Management: Concepts, Methods and Tools for Developing DICAM Applications by Frederick Hayes-Roth Lee D. Erman Allan Terry Barbara Hayes-Roth Submitted to SEKE 92: Fourth International Conference on Software
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Doctors, Patients, and Computers: Will Information Technology Dehumanize Health-Care Delivery * Edward H. Shortliffe, MD, PhD Professor of Medicine and of Computer Science Section on Medical Informatics Stanford University School of Medicine 300 Pasteur Drive Stanford, CA 94305-5479 Presented at the
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The Adolescence of AI in Medicine: Will the Field Come of Age in the '90s * Edward H. Shortliffe, MD, PhD Section on Medical Informatics Stanford University School of Medicine 300 Pasteur Drive Stanford, CA 94305-5479 USA To appear in a Special Issue (April 1993) of the Journal Artificial Intelligence
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1 Knowledge Systems Laboratory May 1994 Report No. KSL 94-27 Deadline Management in Intelligent Agents by Philippe Lalanda Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 2
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Patient Records and Computers An Editorial Submitted to the Annals of Internal Medicine October 1991 Edward H. Shortliffe, MD, PhD, FACP* Paul C. Tang, MD Stanford University Stanford, California Don E. Detmer, MD University of Virginia Charlottesville, Virginia * Address for Correspondence: Section on
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Augmented Transition Networks as a Representation for Knowledge-Based History-Taking Systems Alex Poon, B.S., Kevin Johnson, M.D., Lawrence Fagan, M.D., Ph.D. Section on Medical Informatics Stanford University School of Medicine Medical School Office Building (MSOB X215) Stanford, CA 94305-5479
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Knowledge Systems Laboratory July 1993 Report No. KSL 93-49 A User Guide to Language Frameworks by William R. Murray KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 This research was supported by DARPA grant NAG 2-581-7 and by Cimflex
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Knowledge Systems Laboratory April 1992 Report No. KSL 92-38 Revised: July 1992 Software Design by Reusing Architectures by Sanjay Bhansali H. Penny Nii KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Software Design by Reusing Architectures
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-1- Health Care Professional Workstations: Where Are We Now ... Where Should We Be Tomorrow 1 Edward H. Shortliffe, MD, PhD Professor of Medicine and of Computer Science Section on Medical Informatics Stanford University School of Medicine 300 Pasteur Drive Stanford, CA 94305-5479 ehs@camis.stanford.edu
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Investigations Into Database Management System Support For Expert System Shells Verlyn M Johnson Summary - PhD Thesis University of Minnesota January 1993 Preface This summary contains the Abstract, Introduction, and References sections from the thesis. The complete thesis is available from: UMI
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Compositional Modeling Language *** DRAFT *** July 8, 1993 July 8, 1993 D R A F T i Contents 1 Introduction 1 2 Patterns of Use 2 3 Preliminaries 3 4 General Semantics 4 4.1 Relations, functions, classes and individuals : : : : : : : : : : 4 4.2 Physical Quantities : : : : : : : : : : : : : : : : : : :
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Logic Group First Draft January 1992 Report Logic-92-1 Current Version June 1992 Knowledge Interchange Format Version 3.0 Reference Manual by Michael R. Genesereth Richard E. Fikes in collaboration with Daniel Bobrow Ronald Brachman Thomas Gruber Patrick Hayes Reed Letsinger Vladimir Lifschitz Robert
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DRAFT Specification of the KQML Agent-Communication Language plus example agent policies and architectures The DARPA Knowledge Sharing Initiative External Interfaces Working Group Tim Finin (co-chair) University of Maryland Jay Weber (co-chair) Enterprise Integration Technologies Gio Wiederhold (former
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The Redux0 Server Charles Petrie MCC Enterprise Integration Division 3500 West Balcones Center Drive Austin, TX 78759 petrie@mcc.com
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(Stockholm, Sweden, May 9-11), 1989. 26. Lloyd, J.W., Foundations of Logic Programming, 2nd edition. Springer, Berlin, 1987. 27. Newell, A., The knowledge level. In Artificial Intelligence 18, 1982, 87-127. 28. Przymusinski, T.C., On the declarative semantics of deductive databases and logic programs.
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PACT: An Experiment in Integrating Concurrent Engineering Systems Mark R. Cutkosky, Robert S. Engelmore, Richard E. Fikes, Michael R. Genesereth, Thomas R. Gruber, Stanford University William Mark, Lockheed Palo Alto Research Labs Jay M. Tenenbaum, Jay C. Weber, Enterprise Integration Technologies
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Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment J.L. Murdock and B. Hayes-Roth Knowledge Systems Laboratory, Stanford University 701 Welch Road, Bldg. C Palo Alto, CA 94304 murdock@hpp.Stanford.EDU bhr@hpp.Stanford.EDU December, 1991
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FPR : A Fuzzy Pattern Recognizer Based on Sigmoidals K John Drakopoulos nowledge Systems Laboratory Stanford University. October 13, 1991. F
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1 The Design and Implementation of a Ventilator-Management Advisor by Geoffrey W. Rutledge, George E. Thomsen, Brad R. Farr, Maria A. Tovar, Jeanette X. Polaschek, Ingo A. Beinlich, Lewis B. Sheiner* and Lawrence M. Fagan Section on Medical Informatics, Medical School Office Building, Room X-215,
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Dynamic Selection of Models for a Ventilator-Management Advisor Geoffrey W. Rutledge, M.D. Section on Medical Informatics, Department of Medicine Stanford University, Stanford, California 94305-5479 rutledge@camis.stanford.edu
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A Multimedia Preference-Assessment Tool for Functional Outcomes Mary Kane Goldstein, M.D., David Michelson, B.A., Ann E. Clarke, Leslie A. Lenert, M.D. Department of Medicine, Stanford University
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A Survey of Patient Access to Electronic Mail: Attitudes, Barriers, and Opportunities Douglas B. Fridsma MD1, Paul Ford MD2, Russ Altman MD PhD1 1Section on Medical Informatics, Stanford University School of Medicine MSOB X-2105, Stanford, CA 94305-5479 2Department of Medicine, Stanford University
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Probabilistic Constraint Satisfaction: Application to Radiosurgery Russ B. Altman, MD, PhD and Rhea Tombropoulos, Section on Medical Informatics Stanford University Medical Center, MSOB X-215, Stanford, CA 94305-5479 altman@camis.stanford.edu, rzt@camis.stanford.edu (415) 723-6979, fax: (415) 725-7944
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Altman et al 1 Compositional characteristics of disordered regions in proteins Russ B. Altman* , Christopher Hughes*, Oleg Jardetzky *Section on Medical Informatics Stanford University Medical Center, MSOB-X215 Stanford, CA 94305-5479 altman@camis.stanford.edu chughes@camis.stanford.edu (415) 723-6979
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1 Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation Data Russ B. Altman, MD, PhD Section on Medical Informatics Stanford University, MSOB X215 Stanford, CA 94305-5479 altman@camis.stanford.edu
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Probabilistic Constraint Satisfaction with Structural Models: Application to Organ Modeling by Radial Contours Russ B. Altman, MD, PhD Section on Medical Informatics Stanford University altman@camis.stanford.edu James F. Brinkley, MD, PhD Department of Biological Structure University of Washington
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Altman 1 A Probabilistic Algorithm for Calculating Structure: Borrowing from Simulated Annealing Russ B. Altman, M.D., Ph.D. Section on Medical Informatics, MSOB X215 Stanford University Medical Center Stanford, CA 94305 altman@camis.stanford.edu
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In Formal Ontology in Conceptual Analysis and Knowledge Representation, edited by Nicola Guarino and Roberto Poli, Kluwer Academic Publishers, in press. Substantial revision of paper presented at the International Workshop on Formal Ontology, March, 1993, Padova, Italy. Available as Technical Report KSL
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1...Introduction 1 1.1. . Related work 2 1.2. . Organization of the paper 3 2...Causal Ordering in Equilibrium Structures 4 2.1. . Example of causal ordering in an equilibrium structure 5 2.2. . Minimal complete subsets with multiple variables 8 2.3. . Equilibrium model of a bathtub 8 2.4 Qualitative
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Extraction of SNOMED Concepts from Medical Record Texts Diane E. Oliver, MD and Russ B. Altman, MD, PhD Section on Medical Informatics Stanford University School of Medicine Stanford, CA 94305 oliver@camis.stanford.edu, altman@camis.stanford.edu
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1 Mapping Domains to Methods in Support of Reuse John H. Gennari, Samson W. Tu, Thomas E. Rothenfluh, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University School of Medicine Stanford, CA 94305-5479, U.S.A
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IRRELEVANCE REASONING IN KNOWLEDGE BASED SYSTEMS a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy By Alon Yitzchak Levy October 1993 c Copyright
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Architecture-driven Reuse of Code in KASE Sanjay Bhansali Knowledge Systems Laboratory Computer Science Department, Stanford University 701 Welch Road, Building C Palo Alto, CA 94304 bhansali@ksl.stanford.edu
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Process Programming by Hindsight Pankaj K. Garg Hewlett-Packard Labs 1501 Page Mill Road P. O. Box 10490 Palo Alto, CA 94303-0969 garg@hplabs.hp.com (415)857-4709 Sanjay Bhansali Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg., C Palo Alto, CA 94304 bhansali@sumex-aim.stanford.edu
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Proposal: Performing Invention with Analogies to Far-Flung" Concepts Michael Wolverton and Barbara Hayes-Roth
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Validating Approximate Equilibrium Models P. Pandurang Nayak Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. C, Palo Alto, CA 94304 nayak@cs.stanford.edu
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Specification and Generation of Custom-Tailored Knowledge-Acquisition Tools Henrik Eriksson Medical Computer Science Group Knowledge Systems Laboratory Stanford University School of Medicine Stanford, California 94305-5479 U.S.A.
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Generation of Knowledge-Acquisition Tools from Domain Ontologies Henrik Eriksson Angel R. Puerta Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University School of Medicine Stanford, California 94305-5479, U.S.A.
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Task Modeling with Reusable Problem-Solving Methods Henrik Eriksson Yuval Shahar Samson W. Tu Angel R. Puerta Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University School of Medicine Stanford, California 94305-5479, U.S.A. June 1, 1994
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Probabilistic Diagnosis Using a Reformulation of the INTERNIST-1/QMR Knowledge Base II. Evaluation of Diagnostic Performance Blackford Middleton, M.P.H., M.D., M.S. Michael Shwe, M.S. David Heckerman, Ph.D. Max Henrion, Ph.D. Eric Horvitz, Ph.D. Harold Lehmann, M.D. Gregory Cooper, M.D., Ph.D.* Section
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1 Software Synthesis using Generic Architectures Sanjay Bhansali School of Electrical Engineering and Computer Science* Washington State University Pullman, WA 99164-2752
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Automated Model Selection using Context-Dependent Behaviors P. Pandurang Nayak Knowledge Systems Lab., 701 Welch Road, Bldg. C, Palo Alto, CA 94304. Leo Joskowicz IBM, Watson Res. Ctr., P.O. Box 704, Yorktown Heights, NY 10598. Sanjaya Addanki IBM, Watson Res. Ctr., P.O. Box 704, Yorktown Heights, NY
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A Comparison of Action-Based Hierarchies and Decision Trees for Real-Time Performance* David Ash Barbara Hayes-Roth KSL / Stanford University 701 Welch Rd. Bldg. C Palo Alto, CA 94304-1709 ash@sumex-aim.stanford.edu
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AIDS2: A Decision-Support Tool for Decreasing Physicians Uncertainty Regarding Patient Eligibility for HIV Treatment Protocols Lucila Ohno-Machado,a Eduardo Parra,b Suzanne B. Henry,c Samson W. Tu,a and Mark A. Musena aSection on Medical Informatics, Stanford University School of Medicine bDepartment of
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PEN-Ivory: The Design and Evaluation of a Pen-Based Computer System for Structured Data Entry Alex D. Poon and Lawrence M. Fagan Section on Medical Informatics Stanford University School of Medicine Medical School Office Building (MSOB X215) Stanford, CA 94305-5479 poon@camis.stanford.edu
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Synthesis of UNIX Programs using Derivational Analogy Sanjay Bhansali Knowledge System Laboratory Stanford University 701 Welch Road, Palo Alto, CA 94304 Mehdi T. Harandi Department of Computer Science University of Illinois at Urbana-Champaign 1304 W. Springfield Avenue, Urbana, IL 61801 Email:
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A Control Architecture for Intelligent Mobile Robots Serdar Uckun Barbara Hayes-Roth Knowledge Systems Laboratory, Stanford University 701 Welch Road Bldg. C, Palo Alto, CA 94304 uckun, bhr @HPP.Stanford.EDU
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Knowledge Systems Laboratory June 1994 Report No. KSL 94-49 Instantiating and Monitoring Skeletal Treatment Plans by Serdar Uckun Submitted to Methods of Information in Medicine KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 This research was
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Knowledge Systems Laboratory July 1994 Report No. KSL 94-19 Retrieving Semantically Distant Analogies with Knowledge-Directed Spreading Activation by Michael Wolverton and Barbara Hayes-Roth appears in Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), Seattle, WA,
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A Control Architecture for Intelligent Mobile Robots Serdar Uckun Barbara Hayes-Roth Knowledge Systems Laboratory, Stanford University 701 Welch Road Bldg. C, Palo Alto, CA 94304 uckun, bhr @HPP.Stanford.EDU
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1 Architectural Foundations for Real-Time Performance in Intelligent Agents Barbara Hayes-Roth Knowledge Systems Laboratory Computer Science Department Stanford University Real-Time Systems, May, 1990 This research was supported by DARPA contract N00039-83-C-0136, NIH contract 5P41-RR-00785, EPRI
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Guardian: A Prototype Intelligent Agent for Intensive-Care Monitoring* Barbara Hayes-Roth, Richard Washington, David Ash Stanford University Rattikorn Hewett Florida Atlantic University Anne Collinot Unversite Paris VI - Tour 45-4 Angel Vina Ciudad Universitaria de Madrid Adam Seiver Palo Alto Veterans
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A Satisficing Cycle for Real-Time Reasoning in Intelligent Agents1 Expert Systems with Applications, 1993. Barbara Hayes-Roth Knowledge Systems Laboratory Stanford University 701 Welch Road, Building A Palo Alto, CA 94304 U.S.A. and Anne Collinot2 LAFORIA Unversite Paris VI - Tour 45-4 4, Place Jussieu
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Intelligent Control Barbara Hayes-Roth Knowledge Systems Laboratory Department of Computer Science Stanford University Stanford, CA 94305 1. The Key Ideas How should an artificially intelligent agent decide which action to perform at each point in time In my 1985 paper, A Blackboard Architecture for
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1 On Building Integrated Cognitive Agents: A Review of Allen Newell s Unified Theories of Cognition Barbara Hayes-Roth Stanford University Original: December, 1991 Latest Revision: January, 1992 2 1. Introduction Twenty years ago, Allen Newell and Herbert Simon gave us a landmark book, Human Problem
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1 Plans and Behavior in Intelligent Agents Barbara Hayes-Roth, Philippe Lalanda, Philippe Morignot, Karl Pfleger, and Marko Balabanovic Computer Science Department Stanford University April, 1993 This work was supported by Teknowledge Corporation, Contract 71715-1 under ARPA contract DAAA21-92-C-0028. 2
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1 An Architecture for Adaptive Intelligent Systems1 Barbara Hayes-Roth Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, Ca. 94304 1 This research was supported by NASA contract NAG 2-581 under ARPA Order 6822, subcontract No. 71715-1 from Teknowledge Federal Systems
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1 A Domain-Specific Software Architecture for a Class of Intelligent Patient Monitoring Agents 1 Barbara Hayes-Roth Computer Science Department Stanford University March, 1994 1This research was sponsored by NASA contract NAG 2-581 under ARPA Order 6822 and by Teknowledge Corporation, Contract 71715-1
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Hierarchical Neural Networks for Partial Diagnosis in Medicine Lucila Ohno-Machado and Mark A. Musen Section on Medical Informatics, Stanford School of Medicine Medical School Office Building X-215, Stanford University, Stanford, CA 94305 machado@camis.stanford.edu, musen@camis.stanford.edu
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Although neural networks have been widely applied to medical problems in recent years, their applicability has been limited for a variety of reasons. One of these barriers has been the inability to discriminate rare classes of solutions (i.e., the identification of categories that are infrequent). In
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HIERARCHICAL NEURAL NETWORKS FOR SURVIVALANALYSIS L. Ohno-Machado, M.G.Walker, and M.A. Musen Section on Medical Informatics, Stanford University School of Medicine MSOB X-215 Stanford CA 94305 5479, USA machado@camis.stanford.edu
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Logic Group First Draft January 1992 Report Logic-92-1 Current Version June 1992 Knowledge Interchange Format Version 3.0 Reference Manual by Michael R. Genesereth Richard E. Fikes in collaboration with Daniel Bobrow Ronald Brachman Thomas Gruber Patrick Hayes Reed Letsinger Vladimir Lifschitz Robert
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KNOWLEDGE SYSTEMS LABORATORY Computer Science Department Stanford University Stanford, California 94305 Knowledge Systems Laboratory September 1992 Technical Report KSL 92-71 Revised April 1993 A Translation Approach to Portable Ontology Specifications by Thomas R. Gruber To appear in Knowledge
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Ontolingua: A Mechanism to Support Portable Ontologies Thomas R. Grubery Knowledge Systems Laboratory Stanford University gruber@ksl.stanford.edu Original September 1990; Revised November 1991; Final revision June 1992
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tFPR User's Manual John A. Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106 Chapter 1 Introduction tFPR is a hybrid fuzzy and structural pattern recognition system that uses fuzzy sets to represent multi-variate patterns
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LOAD BALANCING USING TIME SERIES ANALYSIS FOR SOFT REAL TIME SYSTEMS WITH STATISTICALLY PERIODIC LOADS a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of
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1. Concepts.........................................................................................1 1.1. Action Represention Language ...................................................1 1.2. Controlling the planner .............................................................2 1.3. Tricks and
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A Generic Knowledge-Base Access Protocol Peter D. Karp Artificial Intelligence Center SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 pkarp@ai.sri.com Thomas Gruber Knowledge Systems Laboratory Stanford University 701 Welch Rd, Bldg C Palo Alto, CA 94304 gruber@hpp.stanford.edu May 12, 1994 1
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1 The MFM/Guardian Operations Manual Preliminary draft not for citation Jan Eric Larsson June 1994 Knowledge Systems Laboratory, Stanford Universtity 701 Welch Road, Building C, Palo Alto, CA 94304, USA 2 Preface This report describes the software side of a project in which the basic idea was to use
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Academic Physicians' Assessment of the Effects of Computers on Health Care William M. Detmer1 and Charles P. Friedman2 1Section on Medical Informatics, Stanford University School of Medicine 2Laboratory for Computing and Cognition, University of North Carolina School of Medicine We assessed the
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A Continuous-Speech Interface to a Decision- Support System: II. An Evaluation Using a Wizard- of-Oz Experimental Paradigm William M. Detmer, MD1 Smadar Shiffman, MS1 Jeremy C. Wyatt, DM, MRCP2 Charles P. Friedman, PhD3 Christopher D. Lane1 Lawrence M. Fagan, MD, PhD1 1Section on Medical Informatics,
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Directed Improvisation Barbara Hayes-Roth, Erik Sincoff, Lee Brownston, Ruth Huard, and Brian Lent Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. A Palo Alto, California 94304, USA Telephone: (415) 723-0505 E-Mail: Hayes-Roth@CS.Stanford.edu
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1 A Continuous-Speech Interface to a DecisionSupport System: I. Techniques to Accommodate for Misrecognized Input Smadar Shiffman, MS, William M. Detmer, MD, Christopher D. Lane, Lawrence M. Fagan, MD PhD Section on Medical Informatics, Stanford University Address for correspondence: Smadar Shiffman,
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COMBINING EXPERIENTIAL AND THEORETICAL KNOWLEDGE IN THE DOMAIN OF SEMICONDUCTOR MANUFACTURING A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY by
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An Ontology of Materials Bernd Bachmann Markus Steffens German Research Center for AI (DFKI) P.O. Box 2080 D{67608 Kaiserslautern Germany May 1994
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Sisyphus 17 3.3 Refinement of "assign" assign(IN: components, slots, solutions; OUT: components, slots, solutions) WHILE ( ( =(components)) ( =(slots)) 0=(failure)) DO % Select one of the components % selected_component := select_1(components); % Generate the assignments % possible_assignments :=
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1 1 The Knowledge Acquisition and Representation Language (KARL) The Knowledge Acquisition and Representation Language (KARL) (cf. ) is a language to formalize and operationalize KADS models of expertise. A formal description of the expertise is automatically mapped to an operational one.
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ABSTRACTION PLANNING IN REAL TIME a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy By Richard Washington March 1994 c Copyright 1994 by Richard
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Multimedia Clinical Simulation based on Patient Records: Authoring, User Interface, Pedagogy Ramon M. Felciano1 and Parvati Dev PhD2 1Section on Medical Informatics, Stanford University School of Medicine MSOB X-215, Stanford, CA 94305-5479 2SUMMIT, Stanford University School of Medicine MSOB X-329,
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Intelligent Systems in Patient Monitoring and Therapy Management A Survey of Research Projects Serdar Uckun, MD, PhD Knowledge Systems Laboratory Stanford University 701 Welch Road Bldg. C Palo Alto, CA 94304, USA
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1 Opportunistic Control of Action in Intelligent Agents Barbara Hayes-Roth Knowledge Systems Laboratory Stanford University Palo Alto, CA 94304 2
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1 Toward Ontology-Based Frameworks for Knowledge-Acquisition Tools Angel R. Puerta, Robert Neches*, Henrik Eriksson, Pedro Szekely*, Ping Luo*, Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University Stanford, CA 94305-5479, USA *USC/Information Sciences Institute
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1 Generation of Knowledge-Acquisition Tools from Reusable Domain Ontologies Angel R. Puerta, Henrik Eriksson, John W. Egar, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University Stanford, California, 94305-5479, USA Telephone: (415) 723-6979 E-mail:
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Model-Based Automated Generation of User Interfaces Angel R. Puerta, Henrik Eriksson, John H. Gennari, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Departments of Medicine and Computer Science Stanford University Stanford, CA, 94305-5479
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1 Modeling Tasks with Mechanisms Angel R. Puerta, Samson W. Tu, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University Stanford, CA, 94305-5479 puerta@camis.stanford.edu All of the buildings and all of the cars were once just a dream in somebody s head Peter
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1 Automated Generation of Adaptable Knowledge-Acquisition Tools with Mecano Angel R. Puerta, John W. Egar, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Departments of Medicine and Computer Science Stanford University Stanford, CA, 94305-5479 puerta@camis.stanford.edu
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1 Beyond Data Models for Automated User Interface Generation Angel R. Puerta, Henrik Eriksson, John H. Gennari, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Departments of Medicine and Computer Science Stanford University Stanford, CA, 94305-5479
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A Multiple-Method Knowledge-Acquisition Shell for the Automatic Generation of Knowledge-Acquisition Tools Angel Puerta, John Egar, Samson Tu, and Mark Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University Stanford, CA, 94305-5479 puerta@camis.stanford.edu
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1 The New World of Mechanisms Angel R. Puerta, Samson W. Tu, and Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University Stanford, CA 94305-5479, USA puerta@camis.stanford.edu
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The Study of Models of Intelligent Interfaces Angel R. Puerta Medical Computer Science Group Knowledge Systems Laboratory Stanford University Stanford, CA, 94305-5479, USA (415) 723-6979 puerta@camis.stanford.edu
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1 DECIDING WHETHER TO PLAN TO REACT A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Vlad Grigore Dabija December 1993 2 Copyright 1993 by Vlad G.
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The BBK Blackboard Kernel A C++ Implementation of BB1 Lee Brownston AIS Project/HPP/KSL/CSD Stanford University 20 October 1994 BBK 2 Why Previous Lisp versions are too slow The CAIT project needs BBK to run on several hosts Unix machines (Sun, SGI) Macintosh Possibly PC-compatibles There are few Lisp
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Knowledge Systems Laboratory June 24, 1993 A User Guide to Language Frameworks by William R. Murray Knowledge Systems Laboratory Computer Science Department Stanford University Stanford, California 94305 2 1. Introduction: What are language frameworks
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Note that the position of the in the list corresponds to the position of the pattern in the list . ::= (*) ::= ( *) ::= an integer
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1. Introduction .............................................................................................................. 1 2. Installing BB1 ............................................................................................................ 2 1. Create the BB1 directory
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RETRIEVING SEMANTICALLY DISTANT ANALOGIES a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy By Michael Wolverton May 1994 c Copyright 1994 by
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Knowledge Systems Laboratory March 1994 Report No. KSL 94-XX BB1 v3.2 Manual by Michael Wolverton Lee Brownston Draft KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 This research was supported by ***information to be filled in***.. Table of
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COPLANER AVIGNON 1989 Page 14 BIBLIOGRAPHIE Outils, Langages J. Chailloux, Devin M., J.M. Hullot, B. Serpette, J. Vuillemin, "Le_LISP, Version 15.2, Manuel de r f rence", INRIA, Rocquencourt, 1986. P. Cointe, "Metaclasses are First Class : the ObjVlisp Model", Rank Xerox &
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1 Adaptable Motivational Profiles for Autonomous Agents Philippe Morignot and Barbara Hayes-Roth Knowledge Systems Laboratory, Stanford University 701 Welch Road, Bldg. C, Palo Alto CA94304 Phone: (415)723-0948 Fax: (415)725-5850 {morignot bhr}@ksl.stanford.edu
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1 From Knowledge Based Systems to Knowledge Sharing Technology: Evaluation and Assessment Asunci n G mez-P rez Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, CA, 94304, USA Tel: (415) 723-1867, Fax: (415) 725-5850 Email: gomez@hpp.stanford.edu, Asun@fi.upm.es
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USING AUTOMATIC ABSTRACTION FOR PROBLEM-SOLVING AND LEARNING a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy By Amy Unruh May 1993 c Copyright
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Network-Based Information Brokers Richard Fikes Robert Engelmore Adam Farquhar Wanda Pratt Knowledge System Laboratory Stanford University {fikes, rse, adam_farquhar,pratt}@ksl.stanford.edu Introduction We describe a new project whose objective is to develop key technologies that will enable vendors and
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request ("Could you give 5 copies of such paper to that other person ") that will make the agent replan to produce a longer plan. In the middle of an action, the physiological motivation will exceed its threashold again, in which case the agent will generate a one-action plan to go to the closest
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the plan generation process. That's actually half the size of the robot itself, and the navigation routines of the robot already keep a half diameter security interval distance from known objects. 5 10 15 20 2530 5 10 15 20 25 30 Planner Cycle Hanoi(3) D1 P3 D2 (7) D1 D2 P1 (5) D1 P3 D2 (3) D2 P2 D3 (6)
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Section 1: The Structure of Application Programs .................................................. 2 Blackboards ....................................................................................................... 2 Module Structure
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Some Ideas and Examples to Evaluate Ontologies Asunci n G mez-P rez Knowledge Systems Laboratory Stanford University 701 Welch Road, Building C Palo Alto, CA, 94304, USA Tel: (415) 723-1867, Fax: (415) 725-5850 Email: gomez@hpp.stanford.edu, Asun@fi.upm.es
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Integrating Information Sources Using Context Logic Adam Farquhar Angela Dappert Richard Fikes Wanda Pratt Knowledge System Laboratory Stanford University {adam_farquhar,dappert,fikes,pratt}@ksl.stanford.edu
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In press, IEEE Transactions on Software Engineering, expected April, 1995. A Domain-Specific Software Architecture for Adaptive Intelligent Systems Barbara Hayes-Roth, Karl Pfleger, Philippe Lalanda, Philippe Morignot, Marko Balabanovic Knowledge Systems Laboratory Computer Science Department Stanford
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Finding an average core structure: Application to the globins Russ B. Altman Section on Medical Informatics SUMC MSOB X215 Stanford University Stanford, CA 94305 altman@camis.stanford.edu Mark Gerstein Beckman Center for Structural Biology Department of Cell Biology Stanford University Stanford, CA
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Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA Russ B. Altman Section on Medical Informatics Stanford University, Stanford, CA altman@camis.stanford.edu Bryn Weiser Sinsheimer Labs, UCSC Santa Cruz, CA 95064 bryn@fangio.ucsc.edu
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Reusable Ontologies, Knowledge-Acquisition Tools, and Performance Systems: PROT G -II Solutions to Sisyphus-2 Thomas E. Rothenfluh, John H. Gennari, Henrik Eriksson, Angel R. Puerta, Samson W. Tu, Mark A. Musen Medical Computer Science Group Knowledge Systems Laboratory Stanford University School of
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1 Multi-Agent Collaboration in Directed Improvisation Barbara Hayes-Roth and Lee Brownston Stanford University October, 1994 Directed improvisation is a new paradigm for multi-agent interaction. One or more human users direct one or more computer characters with scripted or interactive directions. The
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Directed Improvisation by Computer Characters Barbara Hayes-Roth, Lee Brownston, and Erik Sincoff Knowledge Systems Laboratory Stanford University 701 Welch Road, Bldg. A Palo Alto, California 94304, USA Telephone: (415) 723-0505 Secretary: (415) 723-3445 Fax: (415) 725-5850 E-Mail:
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Bounds on the Classification Error of the Nearest Neighbor Rule John A .Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106 e-mail: drakop@cs.stanford.edu
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visiting from LIAP-5, Universit Ren Descartes, Paris, France. Designing the PenPal: Blending Hardware and Software in a User-Interface for Children Philippe P. Piernot , Ramon M. Felciano, Roby Stancel, Jonathan Marsh and Marc Yvon Stanford University Philippe P. Piernot Knowledge Systems Laboratory
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Using Paper Prototypes as Interface Design Tools for Building Clinical Information Systems Ramon M. Felciano , Merav Harris , Thomas Rindfleisch , Jay Strain , Edward H. Shortliffe Stanford University School of Medicine, Stanford, California Eli Lilly and Co. The Stanford Section on Medical Informatics
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Have you ever tried to find something in a patient record Have you struggled to read someone s illegible handwriting, spent precious time tracking down the one copy in the entire hospital of a patient s chart, or navigated through hundreds of pages looking for the answer to a simple question These
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Computing the Structure of Large Complexes: Applying Constraint Satisfaction Techniques to Modeling the 16S Ribosomal RNA Richard Chen, Doran Fink, and Russ Altman Section on Medical Informatics Stanford University MSOB X215, Stanford, CA 94305-5479, U.S.A. rchen@camis.stanford.edu
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Figures for Average Core Structures (Revised) REVISED manuscript (CAM 537/94) for J. Mol. Biol. (sent Feb 16, 1995) Average Core Structures and Variability Measures for Protein Families: Application to the Immunoglobulins Mark Gerstein 1 & Russ B Altman 2 1 Department of Structural Biology, Fairchild
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1 Methods for Displaying Macromolecular Structural Uncertainty: Application to the Globins Russ B. Altman* , Christopher Hughes* and Mark B. Gerstein *Stanford Section on Medical Informatics Stanford University, MSOB X-215 Stanford, CA 94305-5479 (415) 723-6979; fax: (415) 725-7944
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Multi-Sigmoidal Units and Neural Networks John A. Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106
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tFPR: A Fuzzy and Structural Pattern Recognition System of Multi-Variate Time-Dependent Patterns based on Sigmoidal Functions John A. Drakopoulos and Barbara Hayes-Roth Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106
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tFPR User's Manual John A. Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106 Chapter 1 Introduction tFPR is a hybrid fuzzy and structural pattern recognition system that uses fuzzy sets to represent multi-variate patterns
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Sigmoidal Theory John A .Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106
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Probabilities, Possibilities, and Fuzzy Sets John A. Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106 January 24, 1994
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Multi-Sigmoidal Neural Networks and Back-Propagation John A. Drakopoulos Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106 March 12, 1995
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Bagley et al Characterizing oriented protein structural sites using biochemical properties Steven C. Bagley, Liping Wei, Carol Cheng, and Russ B. Altman Section on Medical Informatics Stanford University School of Medicine, MSOB X-215 Stanford, CA 94305-5479 phone:(415) 723-6979, fax: (415) 725-7944
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1 Plans and Behavior in Intelligent Agents Barbara Hayes-Roth, Karl Pfleger, Philippe Morignot, and Philippe Lalanda Abstract An intelligent agent is a versatile and adaptive system that performs diverse behaviors in its efforts to achieve multiple goals in a dynamic, uncertain environment. In this
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Knowledge Systems Laboratory March 1995 Report No. KSL 95-32 Finding Analogues for Innovative Design Michael Wolverton Knowledge Engineering and Image Processing Group SINTEF DELAB N-7034 Trondheim Norway e-mail: Michael.Wolverton@delab.sintef.no Barbara Hayes-Roth Knowledge Systems Laboratory Stanford
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Diagnosis based on explicit means-end models Jan Eric Larsson* Department of Automatic Control, Lund Institute of Technology, Box 118, S 221 00 Lund, Sweden Submitted to Arti cial Intelligence on May 24th 1993 Revised version submitted in March 1994 Final version submitted in June 1994
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The Generic Frame Protocol Peter D. Karp Artificial Intelligence Center SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 pkarp@ai.sri.com Thomas Gruber Knowledge Systems Laboratory Stanford University 701 Welch Rd, Bldg C Palo Alto, CA 94304 gruber@hpp.stanford.edu February 24, 1995 1 Draft of
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1 Characterizing the microenvironment surrounding protein sites Steven C. Bagley Russ B. Altman Section on Medical Informatics Stanford University School of Medicine, MSOB X-215 Stanford, CA 94305-5479 (415) 723-6979, fax: (415) 725-7944 bagley@camis.stanford.edu altman@camis.stanford.edu To whom
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The Tangerine Club Jan Eric Larsson To Anu Palo Alto, California, April 24th, 1995 Preface Which of all opening bids is the least efficient and causes most trouble in the subsequent bidding A strong 1| A Roman 2} A 0{7 points 1} My opinion is clear: the opening bid one of a suit in the standard system
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A Bridge System Collection Jan Eric Larsson Palo Alto, California, May 5th, 1995 Preface This report started out almost by accident. Just wanting to write down some information about different bidding systems, I started collecting more and more of them. Soon, the effort grew, and I decided to ask for
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Knowledge Systems Laboratory May 1995 Report No. KSL 95-50 Agents on Stage: Advancing the State of the Art of AI by Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Agents on Stage: Advancing the State of the Art of AI Extended
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THEORY AND DESIGN OF A HYBRID PATTERN RECOGNITION SYSTEM a dissertation submitted to the department of computer science and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy By John A. Drakopoulos May 1995 c
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704 Campus Dr., Apt. 14H KARL R. PFLEGER Computer Science Dept. Stanford, CA 94305 kpfleger@cs.stanford.edu Stanford, CA 94305 (415) 497-7787 http://www.stanford.edu/~kpfleger/ (415) 723-6707 EDUCATION: STANFORD UNIVERSITY, Ph.D. program, Computer Science, since 9/92, advisor: Barbara Hayes-Roth,
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Tenth International Workshop on Qualitative Reasoning, 1996 May 21-24th, 1996 Stanford Sierra Camp, Fallen Leaf Lake, CA, USA Sponsored by: AAAI, Knowledge Systems Laboratory of Stanford University Call for Papers and Abstracts Following the continued success of the Qualitative Reasoning (QR) Workshops,
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Syseca Temps R el, Saint-Cloud, juin 89 / mai 90 Doctorant (bourse CIFRE) Etude de l'rdonnancement des lignes de bus de la ville de Caen (2,5 MF). Proposition d'un syst me de planification (M.R.T., 1,5 MF). Cognitech, Paris, novembre 86 / mai 89 Doctorant (bourse CIFRE) Syst me-expert d'aide la
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Software Programmer (Military Service), Aug. 1988 - Jul. 1989, Etablissement Technique Central de l Armement, CAD, Arcueil, France. Simulation of target interception. Graphical wargame. Software Engineer, Nov. 1986 - May 1989, Cognitech, Paris, France. Expert-system to assist in planning building sites
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Collaborative Ontology Construction for Information Integration Adam Farquhar, Richard Fikes, Wanda Pratt, James Rice
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1 A Programming Course in Bioinformatics for Computer and Information Science Students Russ B. Altman Section on Medical Informatics SUMC, MSOB X215 Stanford, CA 94305-5479 altman@camis.stanford.edu John Koza Department of Computer Science Margaret Jacks Hall Stanford, CA 94305-2140 koza@cs.stanford.edu
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1 Probabilistic Constraint Satisfaction with Non-Gaussian Noise Russ B. Altman Section on Medical Informatics SUMC, MSOB X-215 Stanford, CA 94305-5479 altman@camis.stanford.edu Cheng C. Chen Dept. of Electrical Eng. CIS, Rm 213 Stanford, CA 94305-4070 cchen@camis.stanford.edu William B. Poland Dept. of
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Parallel Protein Structure Determination from Uncertain Data Cheng Che Chen*, Jaswinder Pal Singh*, William B. Poland , Russ B. Altman *Department of Electrical Engineering Department of Engineering-Economic Systems Section on Medical Informatics Stanford University
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Knowledge Systems Laboratory September 1995 Report No. KSL 95-70 BBK Manual by Lee Brownston KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 This research was supported by Teknowledge Federal Systems contract 71715 (ARPA contract
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Computer Applictions in the Biosciences, In press Using a measure of structural variation to define a core for the globins M. B. Gerstein 1 & R. B Altman 2* 1 Department of Structural Biology, Fairchild D109 and 2 Section on Medical Informatics, MSOB X215 Stanford University, Stanford, CA 94305, USA MG:
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Lessons Learned Using the Web as an Application Interface James Rice, Adam Farquhar, Philippe Piernot, and Thomas Gruber Knowledge Systems Lab. 701 Welch Rd, bldg. C Palo Alto, CA, 94304 Tel: 415-723-3444 URL: http://www-ksl.stanford.edu/ {rice, axf, piernot, gruber}@ksl.stanford.edu
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A probabilistic approach to hierarchical model-based diagnosis Sampath Srinivas Computer Science Department Stanford University Stanford, CA 94305 srinivas@cs.stanford.edu In Proceedings of the Uncertainty in AI conf., July 94, Seattle, WA.
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A Trial Bank Model for the Publication of Clinical Trials Ida Sim, M.D., and Glenn Rennels, M.D. Ph.D. Section on Medical Informatics, Stanford University School of Medicine Stanford University, Stanford CA sim@camis.stanford.edu
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1 Adaptable Motivational Profiles for Autonomous Agents Philippe Morignot and Barbara Hayes-Roth1 Knowledge Systems Laboratory, Stanford University 701 Welch Road, Bldg. C, Palo Alto CA94304 Phone: (415)723-0948 Fax: (415)725-5850 {morignot bhr}@ksl.stanford.edu 1 We would like to thank all our
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PROT G -II is a methodology and a suite of tools that allow developers to build and maintain knowledge-based systems in a principled manner. We used PROT G -II to reconstruct the well-known INTERNIST-I system, demonstrating the role of a domain ontology (a framework for specification of a model of an
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Appeared in the Seventeenth Annual Symposium on Computer Applications in Medical Care. Safran, C. (Ed.) Conceptual Change and Computer-Assisted Instruction Malcolm Pradhan and Parvati Dev Section on Medical Informatics Stanford University School of Medicine Stanford, California 94305-5479 We conducted a
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Knowledge Engineering for Large Belief Networks Malcolm Pradhan1 Gregory Provan2 Blackford Middleton1 Max Henrion2 1Section on Medical Informatics, MSOB X-215, Stanford University, CA 94305 2Institute for Decision Systems Research
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1 A Domain-Specific Software Architecture for a Class of Intelligent Patient Monitoring Agents1 Barbara Hayes-Roth and Jan Eric Larsson Computer Science Department Stanford University April 1995 1This research was sponsored by NASA contract NAG 2-581 under ARPA Order 6822 and by Teknowledge Corporation,
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1 2 1 2 1 Preprint submitted to Elsevier Preprint 29 November 1995 Malcolm Pradhan , Max Henrion, Gregory Provan, Brendan Del Favero , Kurt Huang The Sensitivity of Belief Networks to Imprecise Probabilities: An Experimental Investigation Institute for Decision Systems Research 4984 El Camino Real,
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Virtual documents that explain How Things Work: Dynamically generated question-answering documents Thomas R. Gruber1 Sunil Vemuri2 James Rice3 Knowledge Systems Laboratory Stanford University gruber@ksl.stanford.edu Abstract Virtual documents are hypermedia documents that are generated on demand in
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1 Semiautomated editing of computed tomography sections for visualization of vasculature Smadar Shiffman, Geoffrey D. Rubin, Sandy Napel Stanford University School of Medicine, Stanford, CA 94305
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Developing a Clinical Trials Ontology Ida Sim Page 1 of 9 Developing A Clinical Trials Ontology: Comments on Domain Modeling and Ontological Reuse Ida Sim, M.D., Glenn Rennels, M.D., Ph.D. Section on Medical Informatics, Stanford University School of Medicine, Stanford, CA 94305
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Story-Making with Improvisational Puppets and Actors Barbara Hayes-Roth and Robert van Gent1 Computer Science Department Stanford University December, 1995 1The work reported in this paper was supported by: ARPA Contract N66001-95-D-8642-Subcontract #137-1 through Teknowledge, Inc., a gift from Intel,
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-1- Biomedical Imaging and the Evolution of Medical Informatics Foreword Submitted to Special Issue of Computerized Medical Imaging and Graphics on Medical Image Databases Smadar Shiffman, M.S. and Edward H. Shortliffe, M.D., Ph.D.* Section on Medical Informatics Stanford University School of Medicine
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Goal Generation and Revision for Planning Agents in Unpredictable Environments Philippe Morignot1 Barbara Hayes Roth2 1. Robotics Research Harvesting 166 Springdale Way, Redwood City CA 94062 Phone/fax: +1 415 369 4222 morignot@hpp.stanford.edu 2. Knowledge Systems Laboratory Gates Computer Science
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Knowledge Systems Laboratory January 1995 Report No. KSL 95-01 Adaptable Motivational Profiles for Autonomous Agents by Philippe Morignot Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 1 Adaptable Motivational Profiles for
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1 Knowledge Systems Laboratory December1994 Report No. KSL 94-76 Why Does an Agent Act by Philippe Morignot Barbara Hayes-Roth This paper will be presented at the AAAI Spring Symposium on Representing Mental States and Mechanisms, Stanford, March 1995. KNOWLEDGE SYSTEMS LABORATORY Department of Computer
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This work has been supported by Teknowledge Federal Systems, Contract 71715-1 under ARPA contract DAAA21-92-C-0028 KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Knowledge Systems Laboratory October 1995 Report No. KSL 95-75 Goal Generation and
open this document and view contentsftp://ksl.stanford.edu/pub/leesb/ps.ps, 19960215
Proposed Newsletter Production Schedule There are two functions: editing and formatting. Both editors participate equally in editing, but have complementary roles in formatting. One, the formatter, produces a first version of the formatted newsletter and, upon receiving a critique from the other editor,
open this document and view contentsftp://ksl.stanford.edu/pub/leesb/tasks.ps, 19960215
Newsletter Tasks This breakdown of newsletter tasks assumes the following division of responsibilities. One of the newsletter staff is the "chief," who is the point of responsibility. The chief manages all phases of production to make sure they are on schedule, communicates directly with the President
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Job Description: Newsletter Editor(s) Responsibilities Each issue Solicit submissions (text and graphics) Enter text of submissions into Macintosh files Write description of monthly run, subject to approval of coordinator Select contents of each issue (text and photographs) Produce complete table of
open this document and view contentsftp://ksl.stanford.edu/pub/leesb/cklist.ps, 19960215
Checklist of Keeping Pace Contents Fixed Items (always appear) Masthead @ top of page 1 Title: Keeping Pace @ top center Club name: The Run Club @ left below title Affiliation: City of Palo Alto Recreation @ center below title Date: Month (or season) and year @ right below title Monthly run announcement
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Knowledge-Level Analysis of the User Interface Design for a Compositional Modeling System Yoshihiro Koizumi Heavy Apparatus Engineering Laboratory Toshiba Corporation 1, Toshiba-cho, Fuchu-shi Tokyo 183, Japan koizumi@ipken.fuchu.toshiba.co.jp Yumi Iwasaki Knowledge Systems Laboratory Stanford
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Improvisational Puppets, Actors, and Avatars Barbara Hayes-Roth and Robert van Gent Computer Science Department Gates Building, Stanford University Stanford, CA 94305 Email: Hayes-Roth@CS.Stanford.Edu 1. Computer Game Characters for New Genres We are investigating three kinds of advanced capabilities
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Custom-Tailored Development Tools for Knowledge-Based Systems Henrik Eriksson Angel R. Puerta John H. Gennari Thomas E. Rothenfluhy Samson W. Tu Mark A. Musen Section on Medical Informatics Knowledge Systems Laboratory Stanford University School of Medicine Stanford, California 94305-5479, U.S.A.
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Acting in Character Barbara Hayes-Roth, Robert van Gent, and Daniel Huber1 Computer Science Department Stanford University 1. Personality in Improvisational Actors Personality is the set of psychological traits that uniquely characterize an individual. Personality distinguishes each individual from all
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KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Knowledge Systems Laboratory March 1996 Report No. KSL 96-14 Patient Advocate: Cooperative Agents to Support Patient- Centered Needs and Demands by Silvia Miksch, Kenneth Cheng, Barbara Hayes-Roth,
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A Compositional Modeling Language Daniel Bobrow*, Brian Falkenhainer**, Adam Farquhar#, Richard Fikes#, Kenneth Forbus$, Thomas Gruber&, Yumi Iwasaki#, Benjamin Kuipers% *Xerox Corporation Palo Alto Research Center **Xerox Wilson Center 3333 Coyote Hill Road 800 Philips Rd., M/S 128-51E Palo Alto, CA
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submitted to: 1996 AMIA Annual Fall Symposium (formerly SCAMC), October 26-30, 1996, Washington, DC. An Intention-Based Language for Sharing Clinical Guidelines Yuval Shahar, M.D., Ph.D., Silvia Miksch, Ph.D., and Peter Johnson, M.D. Section on Medical Informatics and Knowledge Systems Laboratory,
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/SMI-96-617.ps, 19960422
Lamprey: Tracking Users on the World Wide Web Ramon M. Felciano & Russ B. Altman Section on Medical Informatics Stanford University MSOB X-215 Stanford, CA 94305-5479 USA {felciano, altman}@camis.stanford.edu Tracking individual web sessions provides valuable information about user behavior, and this
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1 KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Knowledge Systems Laboratory May 1996 Report No. KSL 96-17 Children's Collaborative Playcrafting by Ruth Duran Huard and Barbara Hayes-Roth 2
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Personality in Computer Characters Daniel Rousseau Knowledge Systems Laboratory Gates Computer Science Bldg 2A Stanford, CA 94305-9020, USA Email: rousseau@hpp.stanford.edu Phone: (415) 723-0948
open this document and view contentsftp://ksl.stanford.edu/pub/pdoyle/aaai-96.ps, 19960531
Computer-Aided Exploration of Virtual Environments Patrick Doyle and Barbara Hayes-Roth Knowledge Systems Laboratory Stanford University Gates Computer Science Building 2A Stanford, CA 94305-9020 pdoyle@cs.stanford.edu, bhr@hpp.stanford.edu
open this document and view contentsftp://ksl.stanford.edu/pub/kpfleger/hierarchical.chunking.ps, 19960612
Hierarchical Chunking with Neural Networks (Working Notes, Version 1.9) Karl Pfleger Computer Science Department Stanford University kpfleger@cs.stanford.edu March, 1995
open this document and view contentsftp://ksl.stanford.edu/pub/larsson/cv.ps.Z, 19960613
CURRICULUM VITAE of JAN ERIC LARSSON, June 13th, 1996 Personal data Name Jan Eric Larsson Work address Knowledge Systems Laboratory, Stanford University, Room 248, M/C 9020 Gates Computer Science Building 2A, Stanford, CA 94305, USA Phone: +1 (415) 725{3859, Fax: +1 (415) 725{5850, E-mail:
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Using Action-Based Hierarchies for Real-Time Diagnosis David Ash and Barbara Hayes-Roth Knowledge Systems Laboratory Computer Science Dept Gates Computer Science Bldg Stanford University Stanford, CA 94305 1
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Information Brokers: Gathering Information from Heterogeneous Information Sources Richard Fikes, Adam Farquhar, Wanda Pratt Knowledge System Laboratory Stanford University {fikes,adam_farquhar,pratt}@ksl.stanford.edu
open this document and view contentsftp://ksl.stanford.edu/pub/morignot/motivated.ps, 19960708
Motivated Agents Philippe Morignot CRIN-CNRS / INRIA-Lorraine Batiment LORIA, B.P. 239 54500 Vandoeuvre-les-Nancy, FRANCE Phone: +33 83592084 Fax: +33 83413079 E-mail: morignot@loria.fr Barbara Hayes-Roth Knowledge Systems Laboratory Gates Building, Stanford, CA94304 U.S.A. Phone: +1 4157230506 Fax: +1
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Knowledge Systems Laboratory July 1996 Report No. KSL 96-21 Personality in Synthetic Agents by Daniel Rousseau, Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305
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Knowledge Systems Laboratory July 1996 Report No. KSL 96-20 An Intelligent Guide for Virtual Environments by Patrick Doyle, Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 An Intelligent Guide for Virtual Environments Patrick
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KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Knowledge Systems Laboratory July 1996 Report No. KSL 96-19 An Intelligent Assistant for Patient Health Care by Silvia Miksch, Kenneth Cheng, Barbara Hayes-Roth submitted to: The First
open this document and view contentsftp://ksl.stanford.edu/pub/KSL_Reports/KSL-96-22.ps, 19960724
Knowledge Systems Laboratory July 1996 Report No. KSL 96-22 Motivated Agents by Philippe Morignot Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 Motivated Agents Philippe Morignot, Barbara Hayes-Roth CRIN-CNRS /
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1 1 Efficient Enumeration of Instances in Bayesian Networks Sampath Srinivas Microsoft Corporation Pandurang Nayak Recom Technologies NASA Ames Research Center 2 The Problem Computing plausible instances of Bayesian networks is important. Applications include medical diagnosis, model-based diagnosis,
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- 1 - The Ontolingua Server: a Tool for Collaborative Ontology Construction Adam Farquhar Richard Fikes James Rice Knowledge Systems Laboratory Stanford University Gates Building 2A MC9020 Stanford, CA 94305 {afarquhar,fikes,rice}@ksl.stanford.edu
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- 1 - The Ontolingua Server: a Tool for Collaborative Ontology Construction Adam Farquhar Richard Fikes James Rice Knowledge Systems Laboratory Stanford University Gates Building 2A MC9020 Stanford, CA 94305 {afarquhar,fikes,rice}@ksl.stanford.edu
open this document and view contentsftp://ksl.stanford.edu/pub/ais/tfpr.ps, 19961121
tFPR: A Fuzzy and Structural pattern recognition System of Multi-Variate Time-Dependent Pattern Classes based on Sigmoidal Functions John A. Drakopoulos and Barbara Hayes-Roth Stanford University Department of Computer Science Knowledge Systems Laboratory 701 Welch Road, Palo Alto, CA 94304-0106
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Children's Play with Improvisational Puppets Ruth Duran Huard and Barbara Hayes-Roth1 Stanford University Knowledge Systems Laboratory Report No. KSL-96-27 November 1996 1 The work reported in this paper was supported by: ARPA CAETI-Globalednet Contract (Teknowledge Federal Systems 137-1), NSF Grant
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Une approche multi-agent pour la mod lisation et la simulation de conversations Daniel Rousseau Bernard Moulin Knowledge Systems Laboratory D partement d Informatique Gates Computer Science Bldg 2A Universit Laval Stanford, CA 94305-9020, USA Sainte-Foy (Qc), Canada Email: rousseau@hpp.stanford.edu
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Published in "Modelling and Simulation 1994 - Proceedings of the 1994 European Simulation Multiconference" (ESM 94), Barcelona, Spain, June 1-3, 1994, Society for Computer Simulation International, pp. 740-744 DEVELOPMENT OF AN INTEGRATED ENVIRONMENT FOR THE SIMULATION OF MULTITECHNICAL SYSTEMS Johan
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AUTOMATION Machine Automation VTT AUTOMATION Kanslerinkatu 8 G Tel. +358 31 163 3111 Machine Automation P.O.BOX 13021 Telefax + 358 31 163 3494 FIN 33101 TAMPERE, Finland Telex 22313 ttktr sf VTT-AUT3 C-9501 FINAL REPORT HUMAN CAPITAL AND MOBILITY FELLOWSHIP ERBCHBICT930534 DESIGN AND SIMULATION OF
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Knowledge Systems Laboratory December 1996 Report No. KSL 96-28 La personnalit dans les acteurs synth tiques by Daniel Rousseau, Barbara Hayes-Roth KNOWLEDGE SYSTEMS LABORATORY Department of Computer Science Stanford University Stanford, California 94305 La personnalit dans les acteurs synth tiques
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1 Large-Scale Repositories of Highly Expressive Reusable Knowledge Proposal to do Knowledge Base Technology Development and Integration in the High-Performance Knowledge Bases (HPKB) Program in response to BAA 96-43 submitted to the Defense Advanced Research Projects Agency by the Knowledge Systems
open this document and view contentsftp://ksl.stanford.edu/pub/rousseau/Rousseau-AAAI97.ps, 19970121
Mixed Initiative in Interactions between Software Agents Daniel Rousseau Bernard Moulin Knowledge Systems Laboratory Computer Science Department Gates Computer Science Bldg 2A Laval University Stanford, CA 94305-9020, USA Sainte-Foy (Quebec), G1K 7P4, Canada Email: rousseau@hpp.stanford.edu Email:
open this document and view contentsftp://ksl.stanford.edu/pub/rousseau/jnle97.ps.Z, 19970124
INTERPRETING COMMUNICATIVE ACTS AND BUILDING A CONVERSATION MODEL Daniel Rousseau1 , Bernard Moulin2 , Guy Lapalme3
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Heuristic Optimization and Dynamical System Safety Verification Todd W. Neller Knowledge Systems Laboratory, Stanford University August 25, 1997
open this document and view contentsftp://ksl.stanford.edu/pub/pdoyle/Rousseau-AAAI97.ps, 19970918
Mixed Initiative in Interactions between Software Agents Daniel Rousseau Bernard Moulin Knowledge Systems Laboratory Computer Science Department Gates Computer Science Bldg 2A Laval University Stanford, CA 94305-9020, USA Sainte-Foy (Quebec), G1K 7P4, Canada Email: rousseau@hpp.stanford.edu Email:
open this document and view contentsftp://ksl.stanford.edu/pub/pdoyle/personality_AAAI96.ps, 19970918
Personality in Computer Characters Daniel Rousseau Knowledge Systems Laboratory Gates Computer Science Bldg 2A Stanford, CA 94305-9020, USA Email: rousseau@hpp.stanford.edu Phone: (415) 723-0948