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