DocumentCode :
1572601
Title :
Deductive search for logic puzzles
Author :
Browne, Cameron
Author_Institution :
Imperial Coll. London, London, UK
fYear :
2013
Firstpage :
1
Lastpage :
8
Abstract :
Deductive search (DS) is a breadth-first, depth-limited propagation scheme for the constraint-based solution of deduction puzzles, using simple logic operations found in standard constraint satisfaction solvers. It attempts to emulate the processing limits experienced by human solvers, and, to some extent, the process by which they solve such problems. Any solution deduced by DS is guaranteed to be correct and unique. Further, it provides an estimate of the deducibility of a given problem for human solvers and offers new ways of understanding deduction puzzles. Its performance is tested on a number of problem domains including Japanese logic puzzles, a traditional logic puzzle, and a geometric placement puzzle.
Keywords :
games of skill; tree searching; DS; Japanese logic puzzles; breadth-first search; constraint-based solution; deduction puzzles; deductive search; depth-limited propagation scheme; geometric placement puzzle; logic operations; standard constraint satisfaction solvers; traditional logic puzzle; Artificial intelligence; Boolean functions; Data structures; Image edge detection; Mathematical model; Standards; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Games (CIG), 2013 IEEE Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
2325-4270
Print_ISBN :
978-1-4673-5308-3
Type :
conf
DOI :
10.1109/CIG.2013.6633649
Filename :
6633649
Link To Document :
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