This paper traces the development of the main ideas that have led to the present state of knowledge in Inductive Logic Programming. The story begins with research in psychology on the subject of human concept learning. Results from this research influenced early efforts in Artificial Intelligence which combined with the formal methods of inductive inference to evolve into the present discipline of Inductive Logic Programming.
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2489
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Induction of Decision Trees
– Quinlan
- 1986
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843
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Efficient induction of logic programs
– Muggleton, Feng
- 1990
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747
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Learning logical definitions from relations
– Quinlan
- 1990
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627
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Language identification in the limit
– Gold
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625
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A Theory and Methodology of Inductive Learning
– Michalski
- 1983
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371
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A further note on inductive generalization
– Plotkin
- 1971
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154
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Machine invention of first-order predicates by inverting resolution
– Muggleton, Buntine
- 1988
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103
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A study of thinking
– Bruner, Goodnow, et al.
- 1956
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90
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Transformational Systems and the Algebraic Structure of Atomic Formulas
– Reynolds
- 1970
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88
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Learning concepts by asking questions
– Sammut, Banerji
- 1986
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84
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Generalized subsumption and its application to induction and redundancy
– Buntine
- 1988
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77
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Inductive inference of theories from facts
– Shapiro
- 1981
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68
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Automatic Methods of Inductive Inference
– Plotkin
- 1971
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58
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Learning nonrecursive definitions of relations with LINUS
– Lavrač, Dˇzeroski, et al.
- 1991
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53
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Aknowledge intensive approach to concept induction
– Bergadano, Giordana
- 1988
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24
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Duce, an oracle based approach to constructive induction
– Muggleton
- 1987
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24
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Multilevel counterfactuals for generalization of relational concepts and productions
– Vere
- 1980
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21
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Beyond inversion of resolution
– Rouveirol, Puget
- 1990
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19
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An interference matching technique for inducing abstractions
– Hayes-Roth, McDermott
- 1978
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19
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The role of abstractions in learning qualitative models
– Mozetic
- 1987
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19
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An algorithm that infers theory from facts
– Shapiro
- 1981
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19
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Distinguishing exceptions from noise in non-monotonic learning
– Srinivasan, Muggleton, et al.
- 1992
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18
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Inductive Generalization: A logical framework
– Helft
- 1987
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17
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The discovery of the equator or concept driven learning
– Emde, Habel, et al.
- 1983
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14
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Improving the generalization step in learning
– Kodratoff, Ganascia
- 1986
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13
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Pattern recognition as rule-guided inference
– Michalski
- 1980
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12
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An overview of the interactive concept-learner and theory revisor CLINT
– Raedt, Bruynooghe
- 1992
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11
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Inductive Learning of Relational Productions
– Vere
- 1978
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10
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Knowledge acquisition from structural descriptions
– Hayes-Roth, McDermott
- 1977
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8
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Learning Concepts by Performing Experiments
– Sammut
- 1981
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7
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Artificial intelligence: A theoretical approach
– Banerji
- 1980
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6
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Non-cumulative learning in METAXA.3
– Emde
- 1987
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6
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Induction of relational productions in the presence of background information
– Vere
- 1977
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4
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A Theory of Structural Concept Formation and Pattern Recognition
– Cohen
- 1978
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3
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Concept Development for Expert System Knowledge Bases
– Sammut
- 1985
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2
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A Language for the Description of Concepts
– Banerji
- 1964
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2
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Generalised Subsumption
– Buntine
- 1986
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2
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Program Synthesis Through Concept Learning
– Cohen
- 1980
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2
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Discovering Classification Rules Using Variable Valued Logic System VL1
– Michalski
- 1973
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1
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An Information Processing Program for Object Recognition
– Banerji
- 1960
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1
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The Description List of Concepts
– Banerji
- 1962
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1
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Theory of Problem Solving - An Approach to Artificial Intelligence
– Banerji
- 1969
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1
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Object Recognition and Concept Learning with CONFUCIUS
– Cohen
- 1982
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1
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Towards friendly concept learners
– DeRaedt
- 1989
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1
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INDUCE 1.1 - The program description and a user's guide No
– Dietterich
- 1978
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1
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A Structural Approach to Pattern Learning and the Acquisition of Classificatory Power
– Hayes-Roth
- 1973
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1
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Learning systems of first-order rules
– Helft
- 1988
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1
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An Elementary Information Processor for Object Recognition
– Pennypacker
- 1963
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1
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Learning Disjunctive Concepts. Personal Communication
– Vere
- 1980
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