AM: A case study in AI methodology.
Artificial Intelligence
Changing language while learning recursive descriptions from examples
Machine learning: a guide to current research
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
A Transformation System for Developing Recursive Programs
Journal of the ACM (JACM)
Inductive acquisition of expert knowledge
Inductive acquisition of expert knowledge
Structured Features from Concept Lattices for Unsupervised Learning and Classification
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Some Properties of Invers Resolution in Normal Logic Programs
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Myths and legends in learning classification rules
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Adding domain knowledge to SBL through feature construction
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
ProGolem: a system based on relative minimal generalisation
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
How to interpret decision trees?
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
Patterns and logic for reasoning with networks
Bisociative Knowledge Discovery
Bootstrap learning via modular concept discovery
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Duce is a Machine Learning system which suggests high-level domain features to the user (or oracle) on the basis of a set of example object descriptions. Six transformation operators are used to successively compress the given examples by generalisation and feature construction. In this paper Duce is illustrated by way of its construction of a simple animal taxonomy and a hierarchical parity checker. However, Duce's main achievement has been the restructuring of a substantial expert system for deciding whether positions within the chess endgame of King-and-Pawn-on-a7 v. King-and-Rook (KPa7KR) are won-for-while or not. The new concepts suggested by Duce for the chess expert system hierarchy were found to be meaningful by the chess expert Ivan Dratko. An existing manually created KPa7KR solution, which was the basis of a recent PhD. thesis, is compared to the structure interactively created by Duce.