Evolving Logic Programs to Classify Chess-Endgame Positions

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{reiser:1998:elpccegp,

• author = "Philip G. K. Reiser and Patricia J. Riddle",
• title = "Evolving Logic Programs to Classify Chess-Endgame Positions",
• booktitle = "Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98. Selected Papers",
• year = "1998",
• editor = "R. I. Bob McKay and X. Yao and Charles S. Newton and J.-H. Kim and T. Furuhashi",
• volume = "1585",
• series = "LNAI",
• pages = "138--145",
• address = "Australian Defence Force Academy, Canberra, Australia",
• publisher_address = "Heidelberg",
• month = "24-27 " # nov,
• publisher = "Springer-Verlag",
• note = "published in 1999",
• keywords = "genetic algorithms, genetic programming, ILP, chess",
• ISSN = "0302-9743",
• URL = "http://www.stancomb.co.uk/~prr/Papers/seal98.ps",
• URL = "http://www.stancomb.co.uk/~prr/Papers/seal98.pdf",
• DOI = "doi:10.1007/3-540-48873-1_19",
• abstract = "In this paper, an algorithm is presented for learning concept classification rules. It is a hybrid between evolutionary computing and inductive logic programming (ILP). Given input of positive and negative examples, the algorithm constructs a logic program to classify these examples. The algorithm has several attractive features including the ability to explicitly use background (user-supplied) knowledge and to produce comprehensible output. We present results of using the algorithm to tackle the chess-endgame problem (KRK). The results show that using fitness proportionate selection to bias the population of ILP learners does not significantly increase classification accuracy. However, when rules are exchanged at intermediate stages in learning, in a manner similar to crossover in Genetic Programming, the predictive accuracy is frequently improved.",
• notes = "SEAL'98 Published as springer-verlag LNAI 1585 SEAL98#026 Session 7: Genetic Programming Chair: Sung-Bae Cho, Yonsei Univ., Korea",

}

Genetic Programming entries for Philip G K Reiser Patricia Jean Riddle

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