Morales, E. (1997) PAL: A patternbased first-order inductive system. Machine Learning 26 227--252. Home/Search Document Details and Download
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Pruning Nodes in the Alpha-Beta Method Using.. - Inuzuka, Fujimoto.. (Correct)
....research. Many ILP methods are 3 Partially supported by the Hori Information Science Promotion Foundation. y Currently working for Sumisho Computer Systems Corp. psycho mbc.sphere.ne.jp. inspected by applying to the chess domain (for example, Furnkranz, 1996, Quinlan, 1990, Morales, 1992, Morales, 1997, Bain Srinivasan, 1995] Chess is recognized as a suitable domain for ILP because data in the domain, such as game configuration, have complex structure and are expressed better in the firstorder logic formalism. Our previous work [Nakano et al. 1998] challenged to induce game heuristics to ....
Morales, E. (1997) PAL: A patternbased first-order inductive system. Machine Learning 26 227--252.
Knowledge Discovery in Chess Databases: A Research Proposal - Fürnkranz (Correct)
....of algorithms that are able to make use of background knowledge in full first order horn clause logic. Roughly speaking, these algorithms are concerned with the induction of PROLOG programs. The ability to use background knowledge in the form of PROLOG clauses allows systems such as PAL [28] to formulate rules with complex predicates in the background knowledge. The rules may even employ a limited look ahead by including conditions like makemove(Side,Piece,From,To,Pos,NewPos) and looking for discriminating patterns in the new position that results from the specified move. We believe ....
Eduardo Morales. PAL: A pattern-based first-order inductive system. Machine Learning, 26(2-3):227--252, 1997. Special Issue on Inductive Logic Programming.
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