Title
Chess revision: acquiring the rules of chess variants through FOL theory revision from examples
Abstract
The game of chess has been a major testbed for research in artificial intelligence, since it requires focus on intelligent reasoning. Particularly, several challenges arise to machine learning systems when inducing a model describing legal moves of the chess, including the collection of the examples, the learning of a model correctly representing the official rules of the game, covering all the branches and restrictions of the correct moves, and the comprehensibility of such a model. Besides, the game of chess has inspired the creation of numerous variants, ranging from faster to more challenging or to regional versions of the game. The question arises if it is possible to take advantage of an initial classifier of chess as a starting point to obtain classifiers for the different variants. We approach this problem as an instance of theory revision from examples. The initial classifier of chess is inspired by a FOL theory approved by a chess expert and the examples are defined as sequences of moves within a game. Starting from a standard revision system, we argue that abduction and negation are also required to best address this problem. Experimental results show the effectiveness of our approach.
Year
DOI
Venue
2009
10.1007/978-3-642-13840-9_12
ILP
Keywords
Field
DocType
chess variant,standard revision system,initial classifier,intelligent reasoning,chess expert,different variant,fol theory,artificial intelligence,theory revision,correct move,chess revision,fol theory revision,artificial intelligent,machine learning
Quiescence search,Negation,Computer science,Testbed,Theoretical computer science,Transposition table,Artificial intelligence,Classifier (linguistics),Machine learning
Conference
Volume
ISSN
ISBN
5989
0302-9743
3-642-13839-X
Citations 
PageRank 
References 
3
0.43
9
Authors
4
Name
Order
Citations
PageRank
Stephen Muggleton13915619.54
Aline Paes24013.64
Vítor Santos Costa388074.70
Gerson Zaverucha428432.70