Structured induction in expert systems
Structured induction in expert systems
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic algorithms and classifier systems: foundations and future directions
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A pattern classification approach to evaluation function learning
Artificial Intelligence
Inductive acquisition of chess strategies
Machine intelligence 11
A parallel network that learns to play backgammon
Artificial Intelligence
Learning plans for competitive domains
Proceedings of the seventh international conference (1990) on Machine learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Study of Explanation-Based Methods for Inductive Learning
Machine Learning
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Explanation-Based Generalization: A Unifying View
Machine Learning
Lazy explanation-based learning: a solution to the intractable theory problem
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
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Psychological evidence indicates that human chess players base their assessments of chess positions on structural/perceptual patterns learned through experience. Morph is a computer chess program that has been developed to be more consistent with the cognitive models. The learning mechanism used by Morph combines weight-updating, genetic, explanation-based and temporal-difference learning to create, delete, generalize and evaluate chess positions. An associative pattern retrieval system organizes the database for efficient processing. The main objectives of the project are to demonstrate capacity of the system to learn, to deepen our understanding of the interaction of knowledge and search, and to build bridges in this area between AI and cognitive science. To strengthen connections with the cognitive literature limitations have been place on the system, such as restrictions to 1-ply search, to little domain knowledge, and to no supervised training.