| 1980 | |  | Inferring grammars by means of profiles: a unifying view - S. Crespi-Reghizzi and D. Mandrioli |
| | | An automatic construction of LISP programs by transformations of functions synthesized from their input-output behavior - J. P. Jouannaud and Y. Kodratoff |
| | | Finding Patterns Common to a Set of Strings - D. Angluin |
| | | Pattern recognition as rule guided inductive inference - R. Michalski |
| | | Multilevel counterfactuals for generalizations of relational concepts and productions - S. A. Vere |
| | | The need for biases in learning generalizations - T. M. Mitchell |
| | | Formal Principles of Language Acquisition - K. Wexler and P. Culicover |
| | | Design issues for exemplary programming - D. A. F. W. S. K. P. R. S. J. Waterman and R. Wesson |
| | | Regular inference with a tail-clustering method - L. Miclet |
| | | Research in the Theory of Inductive Inference by GDR mathematicians - A Survey - R. Klette and R. Wiehagen |
| February | | Suggestions for Genetic A.I. - G. L. Drescher |
| May | | Inductive Inference of Formal Languages from Positive Data - D. Angluin |
| 1981 | | | A critical survey of rule learning programs - A. Bundy and B. Silver |
| | | A discrete model of semantic learning - P. A. Flanagan |
| | | Toward a Modern Theory of Adaptive Networks: Expectation and Prediction - R. S. Sutton and A. G. Barto |
| | | Derivatives of tree sets with applications to grammatical inference - B. Levine |
| | | Combining postulates of naturalness in inductive inference - K. Jantke and H. Beick |
| | | A General Incremental Algorithm that Infers Theory from Facts - E. Shapiro |
| | | Abstract Inference - U. Grenander |
| | | Tradeoffs in Machine Inductive Inference - K. Chen |
| | | A new heuristic for inferring regular grammars - S. Y. Itoga |
| | | Constrained N-to-1 generalization - S. A. Vere |
| | | Some Special Vapnik-Chervonenkis Classes - R. S. Wenocur and R. M. Dudley |
| February | | Inductive Inference of Theories From Facts - E. Y. Shapiro |
| May | | Learning New Principles From Precedents and Exercises: The Details - P. H. Winston |
| December | | Projection Pursuit Regression - J. H. Friedman and W. Stuetzle |
