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	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-015.ps, 19920526 Deception Considered Harmful John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Code 5514 Naval Research Laboratory Washington, DC 20375-5000 E-mail: GREF@AIC.NRL.NAVY.MIL
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-012.ps, 19920526 Conditions for Implicit Parallelism John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Code 5514 Naval Research Laboratory Washington, DC 20375-5000 E-mail: GREF@AIC.NRL.NAVY.MIL
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-014.ps, 19920526 Lamarckian Learning in Multi-agent Environments John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Code 5514 Naval Research Laboratory Washington, DC 20375-5000 E-mail: GREF@AIC.NRL.NAVY.MIL
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-003.ps, 19920603 Learning Concept Classification Rules Using Genetic Algorithms Kenneth A. De Jong William M. Spears George Mason University Naval Research Laboratory Fairfax, VA 22030 USA Washington, D.C. 20375 USA kdejong@aic.gmu.edu spears@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-022.ps, 19920603 On the Virtues of Parameterized Uniform Crossover William M. Spears Kenneth A. De Jong Naval Research Laboratory George Mason University Washington, D.C. 20375 USA Fairfax, VA 22030 USA spears@aic.nrl.navy.mil kdejong@aic.gmu.edu
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-020.ps, 19920603 A STUDY OF CROSSOVER OPERATORS IN GENETIC PROGRAMMING William M. Spears Navy Center for Applied Research in AI Naval Research Laboratory, Code 5510 Washington, D.C 20375-5000 and Vic Anand Massachusetts Institute of Technology Cambridge, MA 02139
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-005.ps, 19920603 A Formal Analysis of the Role of Multi-Point Crossover in Genetic Algorithms Kenneth A. De Jong William M. Spears Computer Science Dept. AI Center - Code 5510 George Mason University Naval Research Laboratory Fairfax, VA 22030, USA Washington, D.C., USA kdejong@aic.gmu.edu spears@aic.nrl.navy.mil Topic
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-015.ps, 19920603 Using Genetic Algorithms For Supervised Concept Learning William M. Spears Kenneth A. De Jong Navy Center for Applied Research in AI George Mason University SPEARS@AIC.NRL.NAVY.MIL KDEJONG@AIC.GMU.EDU
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-023.ps, 19920603 Adaptive Strategy Selection for Concept Learning William M. Spears and Diana F. Gordon Naval Research Laboratory Washington, D.C. 20375
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-004.ps, 19920603 An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms Kenneth A. De Jong William M. Spears kdejong@aic.gmu.edu spears@aic.nrl.navy.mil Computer Science Dept. AI Center - Code 5510 George Mason University Naval Research Laboratory Fairfax, VA 22030, USA Washington,
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-021.ps, 19920603 An Analysis of Multi-Point Crossover William M. Spears Kenneth A. De Jong Naval Research Laboratory George Mason University Washington, D.C. 20375 USA Fairfax, VA 22030 USA spears@aic.nrl.navy.mil kdejong@aic.gmu.edu
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-029.ps, 19920608 TOWARDS FRIENDLIER USER INTERFACES FOR EXPERT SYSTEMS Elaine Marsh Naval Research Laboratory, Washington, DC, USA
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-001.ps.Z, 19920710 1 of 19 Helen G. Cobb Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5514 Washington, D. C. 20375-5320 December 11, 1990
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-030.ps, 19920713 STRUCTURAL DOMAIN MODELING FOR SUNDERSTANDING EQUIPMENT FAILURE MESSAGE Kenneth Wauchope eNavy Center for Applied Research in Artificial Intelligenc Naval Research Laboratory, Code 5512 T
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-002.ps, 19920821 ___________________________ Learning the Persistence of Actions in Reactive Control Rules _________________________________________________________________________________ Helen G. Cobb and John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-013.ps.Z, 19920821 Biases in Inductive Learning Workshop, ML-92, July 4, 1992 13 David Haussler (1988). Quantifying Inductive Bias: AI Learning Algorithms and Valiant s Learning Framework. Artificial Intelligence, 36, pp. 177-221. John Holland (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, MI: The
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-001.ps.Z, 19920824 Helen G. Cobb Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5514 Washington, D. C. 20375-5320 Internet: cobb@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-035.ps, 19920825 Tripod Operators for Recognizing Objects in Range Images; Rapid Rejection of Library Objects. Frank Pipitone and William Adams Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC 20375-5000
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-034.ps, 19920825 Tripod Operators for the Interpretation of Range Images Frank Pipitone 1. Introduction During the past decade, research in the acquisition and use of range images in computer vision has increased greatly. This is due to their relatively complete and explicit representation of 3-D shape information, in
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-036.ps, 19920825 An Artificial Intelligence Approach to Analog Systems Diagnosis Frank Pipitone Kenneth DeJong William Spears Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC 20375-5000 1. Introduction This paper describes some general diagnostic reasoning techniques
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-014.ps, 19920904 Deception Considered Harmful * John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Code 5514 Naval Research Laboratory Washington, DC 20375-5000 E-mail: GREF@AIC.NRL.NAVY.MIL
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-004.ps, 19921007 ADAPTIVE TESTING OFCONTROLLERS FOR AUTONOMOUS VEHICLES Alan C. Schultz John J. Grefenstette Kenneth A. De Jong Navy Center for Applied Research in Artificial Intelligence (Code 5514), Naval Research Laboratory, Washington, DC 20375-5000, U.S.A. (202) 767-2684 EMAIL: schultz@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-012.ps, 19921007 Improving Tactical Plans with Genetic Algorithms Alan C. Schultz John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence (Code 5514), Naval Research Laboratory, Washington, DC 20375-5000, U.S.A. EMAIL: schultz@aic.nrl.navy.mil (202) 767-2685
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-018.ps, 19921007 Using a Genetic Algorithm to Learn Strategies for Collision Avoidance and Local Navigation Alan C. Schultz Navy Center for Applied Research in Artificial Intelligence (Code 5514), Naval Research Laboratory, Washington, DC 20375-5000, U.S.A. EMAIL: schultz@aic.nrl.navy.mil (202) 767-2684
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-009.ps, 19921007 USING A GENETICALGORITHM TO LEARN BEHAVIORS FORAUTONOMOUSVEHICLES Alan C. Schultz and John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence (Code 5514), Naval Research Laboratory, Washington, DC 20375-5000, U.S.A. EMAIL: schultz@aic.nrl.navy.mil (202) 767-2684
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-012.ps, 19930517 Eucalyptus: An Integrated Spoken Language/Graphical Interface for Human-Computer Dialogue Kenneth Wauchope Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5512 4555 Overlook Avenue, S.W. Washington, DC 20375-5320 202/767-9004 Introduction As more and more
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-011.ps, 19930701 Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target Environment ALAN C. SCHULTZ (SCHULTZ@AIC.NRL.NAVY.MIL) CONNIE LOGGIARAMSEY (RAMSEY@AIC.NRL.NAVY.MIL) JOHN J. GREFENSTETTE (GREF@AIC.NRL.NAVY.MIL) Navy Center for Applied Research in Artificial
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-017.ps, 19930701 Adapting the Evaluation Space to Improve Global Learning Alan C. Schultz Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5000, U.S.A. Email: schultz@aic.nrl.navy.mil (202) 767-2684
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-004.ps, 19930702 In Proceedings of International Genetic Algorithms Conference - 1993 1 Genetic Algorithms for Tracking Changing Environments Helen G. Cobb Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 20375-5337 Internet: cobb@aic.nrl.navy.mil John J. Grefenstette Navy
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-010.ps, 19930725 In the Proceedings of the Sixth International Symposium on Methodologies for Intelli - gent Systems, Charlotte, NC, 1991, pages 358-367. IMPROVING THE COMPREHENSIBILITY, ACCURACY, AND GENERALITY OF REACTIVE PLANS Diana F. Gordon Navy Center for Applied Research in AI Naval Research Laboratory, Code 5510
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-005.ps, 19930728 In the Proceedings of the Seventh International Conference on Machine Learning, Austin, TX, 1990. Explanations of Empirically Derived Reactive Plans Diana F. Gordon (gordon@aic.nrl.navy.mil) John J. Grefenstette (gref@aic.nrl.navy.mil) Navy Center for Applied Research in Artificial Intelligence Naval
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-007.ps, 19930728 ___________________________ AN ENHANCER FOR REACTIVE PLANS _________________________________________________________________________________ Diana F. Gordon Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5514 Washington, D.C. 20375-5000
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-016.ps, 19930809 In the Proceedings of the Second International Workshop on Multistrategy Learning, Harper's Ferry, WVA, 1993. A Multistrategy Learning Scheme for Assimilating Advice in Embedded Agents Diana F. Gordon Naval Research Laboratory, Code 5514 Washington, D.C. 20375 gordon@aic.nrl.navy.mil Devika Subramanian
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-019.ps, 19930903 FOCUS OF ATTENTION IN DECISION SUPPORT SYSTEMS John O. Gurney, Jr. Army Research Laboratory Adelphi, MD Elaine Marsh and Kenneth Wauchope Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5337 1.0 Introduction - Natural Language in Decision
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-014.ps, 19940621 An Evolutionary Approach to Learning in Robots John Grefenstette and Alan Schultz Navy Center for Artificial Intelligence Naval Research Laboratory Washington, DC 20375 {gref, schultz}@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-007.ps, 19940622 Naval Research Laboratory Washington, DC 20375-5320 NRL/FR/5510--94-9711 Eucalyptus: Integrating Natural Language Input with a Graphical User Interface KENNETH WAUCHOPE Navy Center for Applied Research in Artificial Intelligence Information Technology Division February 25, 1994 This report describes
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-041.ps, 19940812 Case-Based Sonogram Classification David Aha & Patrick Harrison Navy Center for Applied Research in AI Naval Research Laboratory, Code 5510 Washington, D.C. 20375 hlastnamei.aic.nrl.navy.mil October, 1993
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-017.ps.Z, 19940812 Learning Singly-Recursive Relations from Small Datasets1 David W. Aha Charles X. Ling2 Stan Matwin3 Stephane Lapointe4 Center for Applied Research in AI Naval Research Laboratory Washington, DC 20375 aha@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-017.ps, 19941018 EVOLVING ROBOT BEHAVIORS ALAN C. SCHULTZ JOHN J. GREFENSTETTE Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5337 schultz@aic.nrl.navy.mil (202) 767-2684 fax (202) 767-3172
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-003.ps, 19941018 LEARNING ROBOT BEHAVIORS USING GENETIC ALGORITHMS ALAN C. SCHULTZ Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5337 schultz@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-002.ps, 19941020 EVOLUTIONARY ALGORITHMS IN ROBOTICS JOHN GREFENSTETTE Naval Research Laboratory Washington, DC 20375-5337
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-017.ps, 19941027 Talking to InterFIS: Adding Speech Input to a Natural Language Interface Stephanie S. Everett, Kenneth Wauchope and Dennis Perzanowski Navy Center for Applied Research in Artificial Intelligence Information Technology Division SEverett@AIC.NRL.Navy.Mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-026.ps, 19941027 Adding Speech Recognition to a Natural Language Interface Stephanie S. Everett, Kenneth Wauchope and Dennis Perzanowski Navy Center for Applied Research in Artificial Intelligence US Naval Research Laboratory, Code 5512 Washington, DC 20375-5337 severett@aic.nrl.navy.mil The addition of speech
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-016.ps, 19941027 Talking to a Natural Language Interface: Lessons Learned Stephanie S. Everett, Kenneth Wauchope and Dennis Perzanowski Navy Center for Applied Research in Artificial Intelligence US Naval Research Laboratory, Code 5510 Washington, DC 20375 (202)767-9005 severett@aic.nrl.navy.mil Talking to a Natural
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-018.ps, 19941029 A Simpler Look at Consistency William M. Spears Diana F. Gordon Naval Research Laboratory Washington, D.C. 20375 USA (202) 767-9006 spears@aic.nrl.navy.mil gordon@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-015.ps, 19941029 In Proceedings of the Workshop on Change of Representation and Problem Reformulation (1992) Queries for Bias Testing Diana F. Gordon Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5510 Washington, D.C. 20375 gordon@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-008.ps, 19941029 Is Consistency Harmful William M. Spears Diana F. Gordon Naval Research Laboratory Naval Research Laboratory Washington, D.C. 20375 USA Washington, D.C. 20375 USA spears@aic.nrl.navy.mil gordon@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-013.ps, 19941029 USER S GUIDE TO THE NAVIGATION AND COLLISION AVOIDANCE TASK 15 To replay a prior episode that did not just occur, type in runauv to replay episode number from the file . By repeatedly clicking the mouse on Start it is possible to continue to run episodes
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-021.ps, 19941029 Calibrating, Counting, Grounding, Grouping Jennifer Elgot-Drapkin1 Diana Gordon2 Sarit Kraus3 Michael Miller4 Madhura Nirkhe4 Donald Perlis4 1Arizona State University 2Naval Research Laboratory 3Bar Ilan University 4University of Maryland 1 Introduction Even an elementary" intelligence for control of
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-046.ps, 19941101 14 Informatica 17 D. Gordon and D. Subramanian Tesauro, G., Temporal difference learning of backgammon strategy. In Proc. of the Ninth International Workshop on Machine Learning, 1992. Towell, G. and J. Shavlik, Refining symbolic knowledge using neural networks. In Proc. of the Eighth Workshop
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1991/AIC-91-008.ps, 19941101 Active Bias Testing and Adjustment for Concept Learning Diana F. Gordon (gordon@aic.nrl.navy.mil) Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5514 Washington, D.C. 20375-5000
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-005.ps, 19941118 Using a Genetic Algorithm to Search for the Representational Bias of a Collective Reinforcement Learner Helen G. Cobba and Peter Bockb a Naval Research Laboratory, Code 5514, Navy Center for Applied Research in Artificial Intelligence, 4555 Overlook Ave., SW, Washington, D. C., USA 20375-5337;
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-009.ps, 19941123 Predicting the Performance of Genetic Algorithms John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5337
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-016.ps, 19941123 Case-Based Anytime Learning Connie Loggia Ramsey and John J. Grefenstette Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 20375-5337 {ramsey,gref}@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-007.ps, 19941201 Combining Experience with Quantitative Models John J. Grefenstette Connie Loggia Ramsey Navy Center for Applied Research in AI Naval Research Laboratory Code 5514 Washington, DC 20375-5337
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-005.ps, 19941201 Case-Based Initialization of Genetic Algorithms Connie Loggia Ramsey Navy Center for Applied Research in AI Naval Research Laboratory Code 5514 Washington, DC 20375-5337 ramsey@aic.nrl.navy.mil John J. Grefenstette Navy Center for Applied Research in AI Naval Research Laboratory Code 5514 Washington, DC
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-002.ps, 19941201 The Evolution of Strategies for Multi-agent Environments John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5000, U.S.A. Email: GREF@AIC.NRL.NAVY.MIL Phone: (202) 767-2685 FAX: (202) 767-5103
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-012.ps, 19941201 Genetic Algorithms and Machine Learning John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375, USA gref@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-010.ps, 19941201 Learning Sequential Decision Rules Using Simulation Models and Competition JOHN J. GREFENSTETTE (GREF@AIC.NRL.NAVY.MIL) CONNIE LOGGIA RAMSEY (RAMSEY@AIC.NRL.NAVY.MIL) ALAN C. SCHULTZ (SCHULTZ@AIC.NRL.NAVY.MIL) Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory,
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-024.ps, 19941206 Table 7: Average cpu times (in seconds) for two, three, and four positive and ten negative examples, plus the average number of subterm combinations (Comb) and number of those whose lists of generating terms match (Match) for four positive and ten negative examples Relation Cpu Times Comb Match 2 3 4
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-011.ps, 19941206 Feature Selection for Case-Based Classification of Cloud Types: An Empirical Comparison David W. Aha Navy AI Center Naval Research Laboratory Washington, DC 20375 aha@aic.nrl.navy.mil Richard L. Bankert Marine Meteorology Division Naval Research Laboratory Monterey, CA 93943 bankert@nrlmry.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-012.ps, 19941206 Towards a Better Understanding of Memory-Based Reasoning Systems John Rachlin Simon Kasif Steven Salzberg Dept. of Computer Science Johns Hopkins University Baltimore, MD 21218 lastname@cs.jhu.edu David W. Aha Navy Center for Applied Research in AI Naval Research Laboratory Washington DC 20375
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-027.ps, 19941206 14WAF-FA4.4 AUTOMATED IDENTIFICATION OF CLOUD PATTERNS IN SATELLITE IMAGERY Richard L. Bankert* Naval Research Laboratory Marine Meteorology Division Monterey, California 1. INTRODUCTION At the Naval Research Laboratory progress continues to be made in the development of an automated system, named SIAS
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1990/AIC-90-031.ps, 19941209 A TANDEM SEMANTIC INTERPRETER N INTRODUCTION FOR INCREMENTAL PARSE SELECTIO The goal of natural language understanding (NLU) computer systems is to analyze and to use a h the information contained in English or other natural language discourse in much the same way as uman reader does. The natural
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-003.ps, 19941213 ___________________________ An Approach to Anytime Learning _________________________________________________________________________________ John J. Grefenstette and Connie Loggia Ramsey Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5000
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-001.ps, 19941213 Predictive Models Using Fitness Distributions of Genetic Operators John J. Grefenstette Navy Center for Artificial Intelligence Code 5514 Naval Research Laboratory Washington, DC 20375-5337 E-mail: GREF@AIC.NRL.NAVY.MIL
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-011.ps.Z, 19941214 Genetic algorithms for changing environments John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC 20375, USA gref@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-018.ps, 19941219 Competition-Based Learning1 John J. Grefenstette, Kenneth A. De Jong, William M. Spears Navy Center for Applied Research in Artificial Intelligence Information Technology Division Naval Research Laboratory Washington, DC 20375-5000
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-010.ps, 19941219 Learning Decision Strategies with Genetic Algorithms John J. Grefenstette Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5000, U.S.A. Email: GREF@AIC.NRL.NAVY.MIL
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-047.ps, 19950111 Integrating Machine Learning with Knowledge-Based Systems1 David W. Aha2 Department of Computer Science University of Ottawa Ottawa, Ontario K1N 6N5 Canada aha@csi.uottawa.ca Computational learning systems attempt to improve performance with experience, according to some pre-defined performance
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-032.ps, 19950111 Learning to Catch: Applying Nearest Neighbor Algorithms to Dynamic Control Tasks David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5514 Washington, DC 20375 USA aha@aic.nrl.navy.mil Steven L. Salzberg Department of Computer Science Johns Hopkins
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-031.ps, 19950111 Inverting Implication with Small Training Sets David W. Aha1, Stephane Lapointe2, Charles X. Ling3 and Stan Matwin4 1 Navy Center for Applied Research in Artificial Intelligence, Code 5514, Naval Research Laboratory, Washington, DC 20375 USA 2 DREV, P.O. Box 8800, Defence Research Establishment
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-003.ps, 19950120 An Implementation and Experiment with the Nested Generalized Exemplars Algorithm David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375 aha@aic.nrl.navy.mil http://www.aic.nrl.navy.mil/ aha/ January 20, 1995
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1992/AIC-92-020.ps.Z, 19950124 1 of 10 Helen G. Cobb Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5514 Washington, D. C. 20375-5000 Telephone: (202) 767-2686 Internet: cobb@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-026.ps, 19950127 A Comparative Evaluation of Sequential Feature Selection Algorithms David W. Aha Navy AI Center Naval Research Laboratory Washington, DC 20375 aha@aic.nrl.navy.mil Richard L. Bankert Marine Meteorology Division Naval Research Laboratory Monterey, CA 93943 bankert@nrlmry.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-008.ps, 19950203 REFERENCES Davis, L. (Ed.) 1991. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York. Goldberg, D. E. 1989. Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading. Hickok, K.; M. Hunt; J. Patton; S. Williams; T. Travers; B. Hopkins; F. Larham; R. Kisacky.
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-032.ps, 19950206 Human-Machine Dialogue for Multi-Modal Decision Support Systems Elaine Marsh and Kenneth Wauchope Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375-5337 marsh\|wauchope@aic.nrl.navy.mil 1.0 Introduction In this paper we describe some of the
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-046.ps, 19950208 A Natural Language Interface for Virtual Reality Systems Stephanie S. Everett, Kenneth Wauchope, Manuel A. P rez Navy Center for Artificial Intelligence US Naval Research Laboratory, Code 5512 Washington, DC 20375-5337 SEverett/Wauchope/Perez@AIC.NRL.Navy.Mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1994/AIC-94-020.ps, 19950322 Using Markov Chains to Analyze GAFOs Kenneth A. De Jong Computer Science Department George Mason University Fairfax, VA 22030 E-mail: kdejong@gmu.edu William M. Spears Diana F. Gordon Navy Center for Applied Research in Artificial Intelligence Code 5510 Naval Research Laboratory Washington, D.C.
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-050.ps, 19950327 Using Genetic Algorithms for Concept Learning Kenneth A. De Jong, William M. Spears and Diana F. Gordon Naval Research Laboratory Washington, D.C. 20375 and George Mason University Fairfax, VA 22030
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-005.ps, 19950327 Unsupervised Classification Procedures Applied to Satellite Cloud Data DIANA F. GORDON Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5510 4555 Overlook Avenue, S.W. Washington, D.C. 20375-5337 AND PAUL M. TAG RICHARD L. BANKERT Naval Research Laboratory,
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-013.ps, 19950403 Virtual Genetic Algorithms: First Results John Grefenstette Navy Center for Applied Research in Artificial Intelligence Code 5514 Naval Research Laboratory Washington, DC 20375-5337 Email: gref@aic.nrl.navy.mil 16 February 1995
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-014.ps, 19950403 ROBOT LEARNING WITH PARALLEL GENETIC ALGORITHMS ON NETWORKED COMPUTERS John J. Grefenstette Navy Center for Applied Research in AI Naval Research Laboratory Washington, DC 20375-5337 email: gref@aic.nrl.navy.mil KEYWORDS Parallel genetic algorithms, robot learning
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1993/AIC-93-044.ps, 19950404 INTRODUCTION:SPECIAL TRACK ON GENETIC ALGORITHMS John J. Grefenstette Naval Research Laboratory IEEE Expert October 1993 INTRODUCTION It is my pleasure to introduce this Special Track of IEEE Expert on Genetic Algorithms. Genetic algorithms (GAs) are general purpose search algorithms that use principles
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-001.ps, 19950424 Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes L. Karl Branting Department of Computer Science University of Wyoming P.O. Box 3682 Laramie, WY 82071 karl@eolus.uwyo.edu (307) 766-4258 / FAX: -4036 David W. Aha Navy Center for Applied Research in AI Code 5510 Naval
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-004.ps, 19950428 For Every Generalization Action, Is There Really an Equal and Opposite Reaction Analysis of the Conservation Law for Generalization Performance R. Bharat Rao Electrical Engineering University of Illinois Urbana, IL 61801 Diana Gordon Naval Research Laboratory Washington, DC 20375-5337
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-016.ps, 19950503 Evolving Complex Structures via Co- operative Coevolution Kenneth A. De Jong and Mitchell A. Potter
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-010.ps, 19950503 A Coevolutionary Approach to Learning Sequential Decision Rules Mitchell A. Potter Dept. of Computer Science George Mason University Fairfax, VA 22030 e-mail: mpotter@cs.gmu.edu Kenneth A. De Jong Dept. of Computer Science George Mason University Fairfax, VA 22030 John J. Grefenstette NCARAI Naval
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-017.ps, 19950503 EVOLVING NEURAL NETWORKS WITH COLLABORATIVE SPECIES Mitchell A. Potter and Kenneth A. De Jong Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375 email: mpotter@aic.nrl.navy.mil Keywords: Genetic algorithms, coevolution, neural networks, parallel
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-018.ps, 19950504 Page 1 Mental Representations of Spatial Language Submitted by: Geoffrey S. Hubona, Department of Information Systems University of Maryland Baltimore County, Baltimore, MD, U.S.A. Internet: hubona@umbc.edu Phone: (410) 455-3931 Elaine Marsh, Navy Center for Artificial Intelligence Naval Research
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-021.ps, 19950616 Conversational Dialogue in Graphical User Interfaces: Interaction Technique Feedback and Dialogue Structure Manuel A. P rez Department of Electrical Engineering and Computer Science The George Washington University Washington, DC 20052 perez@seas.gwu.edu +1-202-767-9003
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-026.ps, 19951013 Weighting Features Dietrich Wettschereck1 and David W. Aha2 1 German National Research Center for Computer Science, 53754 Sankt Augustin, Germany (dietrich.wettschereck@gmd.de) 2 Navy Center for Applied Research in AI, Naval Research Laboratory, Washington, DC 20375 USA (aha@aic.nrl.navy.mil)
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-028.ps, 19951212 Computational Pragmatics in HCI: Using Dialog Context in a MultiModal Interface* Manuel A. P rez-Qui ones perez@aic.nrl.navy.mil Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-001.ps.Z, 19951212 A Collaborative Model of Feedback in Human-Computer Interaction Manuel A. P rez-Qui ones Human-Computer Interaction Laboratory Naval Research Laboratory, Code 5512 Washington, DC 20375-5337 perez@aic.nrl.navy.mil +1-202-767-9003 John L. Sibert Department of EE and CS The George Washington University
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-002.ps, 19951213 Negotiating User-Initiated Cancellation and Interruption Requests Manuel A. P rez-Qui ones Human-Computer Interaction Laboratory Naval Research Laboratory, Code 5512 Washington, DC 20375-5337 perez@aic.nrl.navy.mil +1-202-767-9003 John L. Sibert Department of EE and CS The George Washington University
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-005.ps, 19960402 Cooperative Bayesian and Case-Based Reasoning for Solving Multiagent Planning Tasks David W. Aha & Li Wu Chang Navy Center for Applied Research in AI Naval Research Laboratory, Code 5510 Washington, DC 20375 faha; liwug@aic.nrl.navy.mil (202) 767-2884 / FAX: 767-3172 January 25, 1996
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-022.ps, 19960717 Applying Genetic Algorithms to the Testing of Intelligent Controllers Alan C. Schultz, John J. Grefenstette, & Kenneth A. De Jong Navy Center for Applied Research in Artificial Intelligence (Code 5514) Naval Research Laboratory, Washington, DC 20375-5000, U.S.A. schultz@aic.nrl.navy.mil (202) 767-2684,
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-027.ps, 19960717 G3.5 Learning to break things: adaptive testing of intelligent controllers Alan C. Schultz, John J. Grefenstette, and Kenneth A. De Jong Naval Research Laboratory
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-019.ps, 19960718 Multimodal Interaction with a Map-Based Simulation System* Kenneth Wauchope Navy Center for Applied Research in Artificial Intelligence US Naval Research Laboratory, Code 5512 Washington, DC 20375-5337 INTRODUCTION This report describes InterLACE (Interface to LACE), a natural language and graphical
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1995/AIC-95-007.ps, 19960718 Machine Learning Journal, 20, 1{17 (1995) c 1995 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Evaluation and Selection of Biases in Machine Learning DIANA F. GORDON gordon@aic.nrl.navy.mil Naval Research Laboratory MARIE desJARDINS marie@erg.sri.com SRI International Editor:
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-012.ps, 19960718 A Comparison of Action Selection Learning Methods Diana F. Gordon Naval Research Laboratory, Code 5510 4555 Overlook Avenue, S.W. Washington, D.C. 20375 gordon@aic.nrl.navy.mil Devika Subramanian Department of Computer Science Rice University Houston, TX 77005 devika@cs.rice.edu
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-013.ps, 19960718 Cognitive Modeling of Action Selection Learning Diana F. Gordon Naval Research Laboratory, Code 5510 4555 Overlook Avenue, S.W. Washington, D.C. 20375 gordon@aic.nrl.navy.mil Devika Subramanian Department of Computer Science Rice University Houston, TX 77005 devika@cs.rice.edu
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-016.ps, 19960718 1 A World Wide Web Demonstration of Stratified Case-Based Reasoning1 Jeffrey W. Adams Department of Computer Science United States Naval Academy Annapolis, MD m970024@pratt.nadn.navy.mil David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-004.ps, 19960719 Greedy Utile Suffix Memory for Reinforcement Learning with Perceptually-Aliased States Leonard A. Breslow Navy Center for Applied Research in AI (Code 5510) Naval Research Laboratory Washington, DC 20375, USA breslow@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-006.ps, 19960904 A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms Dietrich Wettschereck David W. Ahay Takao Mohriz
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-014.ps, 19961112 Simplifying Decision Trees: A Survey1 Leonard A. Breslow and David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375 (202) f404-7736,767-9006g FAX: (202) 767-3172 fbreslow,ahag@aic.nrl.navy.mil http://www.aic.nrl.navy.mil/ fbreslow,ahag/
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-015.ps, 19961112 Comparing Tree-Simplification Procedures1 Leonard A. Breslow and David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375 fbreslow,ahag@aic.nrl.navy.mil http://www.aic.nrl.navy.mil/ fbreslow,ahag 1 Problem and Contribution Induced decision
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-024.ps, 19961206 Cloud Classification Using Error-Correcting Output Codes David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington, DC 20375 aha@aic.nrl.navy.mil Richard L. Bankert Marine Meteorology Division Naval Research Laboratory Monterey, CA 93943
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-028.ps, 19970129 A Proposal for Refining Case Libraries1 David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5510 Washington, DC 20375 USA aha@aic.nrl.navy.mil http://www.aic.nrl.navy.mil/ aha
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-002.ps, 19970131 Case-Based Learning: Beyond Classification of Feature Vectors David W. Aha1 and Dietrich Wettschereck2 1 Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC USA, aha@aic.nrl.navy.mil 2 FIT.KI, GMD (German National Research Center for Information
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-004.ps, 19970416 Refining Conversational Case Libraries David W. Aha and Leonard A. Breslow Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Washington, DC 20375 USA faha,breslowg@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-003.ps, 19970417 Learning to Refine Case Libraries: Initial Results David W. Aha and Leonard A. Breslow Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC USA, faha,breslowg@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-005.ps, 19970528 ECML-97 MLNet Workshop Notes Case-Based Learning: Beyond Classification of Feature Vectors Dietrich Wettschereck1 and David W. Aha2 1 GMD (German National Research Center for Information Technology) Artificial Intelligence Research Division Schloss Birlinghoven 53754 Sankt Augustin, Germany
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-018.ps, 19970814 NACODAE: Navy Conversational Decision Aids Environment1 Leonard A. Breslow and David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5510 Washington, DC 20375 USA lastname@aic.nrl.navy.mil http://www.aic.nrl.navy.mil/ aha/cbr/nacodae Draft 1.0: August
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1996/AIC-96-007.ps, 19971017 Continuous Localization Using Evidence Grids Alan C. Schultz and William Adams Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Washington, DC 20375-5337, U.S.A. schultz@aic.nrl.navy.mil
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-023.ps, 19971028 A Model-Based Approach for Supporting Dialogue Inferencing in a Conversational Case-Based Reasoner1 David W. Aha and Tucker Maney Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory; Washington, DC 20375 lastname@aic.nrl.navy.mil 1 Conversational Case-Based Reasoning We
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-025.ps, 19971030 Bias, Variance, and Error Correcting Output Codes for Local Learners Francesco Ricci Istituto per la Ricerca Scientifica e Tecnologica 38050 Povo (TN), Italy David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5510 Washington, DC 20375 USA
	ftp://ftp.aic.nrl.navy.mil/pub/papers/1997/AIC-97-001.ps, 19971030 Extending Local Learners with Error-Correcting Output Codes1 Francesco Ricci Istituto per la Ricerca Scientifica e Tecnologica 38050 Povo (TN), Italy David W. Aha Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, Code 5510 Washington, DC 20375 USA