1980 | | | **The need for biases in learning generalizations** - *T. M. Mitchell* |

| | | **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* |

| | | **Design issues for exemplary programming** - *D. A. Waterman, William S. Faugh, Philip Klahr, Stanley J. Rosenschein and Robert Wesson* |

| | | **Pattern recognition as rule guided inductive inference** - *R. Michalski* |

| | | **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* |

| | | **Multilevel counterfactuals for generalizations of relational concepts and productions** - *S. A. Vere* |

| | | **Finding Patterns Common to a Set of Strings** - *D. Angluin* |

| | | **Formal Principles of Language Acquisition** - *Kenneth Wexler and Peter W. Culicover* |

| February | | **Suggestions for Genetic A.I.** - *G. L. Drescher* |

| May | | **Inductive Inference of Formal Languages from Positive Data** - *D. Angluin* |

1981 | | | **Constrained N-to-1 generalization** - *S. A. Vere* |

| | | **Some Special Vapnik-Chervonenkis Classes** - *R. S. Wenocur and R. M. Dudley* |

| | | **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** - *Klaus P. Jantke and Hans-Rainer Beick* |

| | | **A new heuristic for inferring regular grammars** - *S. Y. Itoga* |

| | | **A General Incremental Algorithm that Infers Theory from Facts** - *E. Shapiro* |

| | | **Abstract Inference** - *U. Grenander* |

| | | **A critical survey of rule learning programs** - *A. Bundy and B. Silver* |

| | | **A discrete model of semantic learning** - *P. A. Flanagan* |

| | | **Tradeoffs in Machine Inductive Inference** - *K. Chen* |

| 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* |