JARUŠEK, Petr and Radek PELÁNEK. Difficulty Rating of Sokoban Puzzle. In STAIRS 2010, Proceedings of the Fifth Starting AI Researchers' Symposium. Lisbon, Portugal: IOS Press BV, 2010, p. 140-146, 6 pp. ISBN 978-1-60750-675-1.
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Basic information
Original name Difficulty Rating of Sokoban Puzzle
Authors JARUŠEK, Petr (203 Czech Republic, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, guarantor, belonging to the institution).
Edition Lisbon, Portugal, STAIRS 2010, Proceedings of the Fifth Starting AI Researchers' Symposium, p. 140-146, 6 pp. 2010.
Publisher IOS Press BV
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/10:00044298
Organization unit Faculty of Informatics
ISBN 978-1-60750-675-1
UT WoS 000325429800012
Keywords in English Sokoban; Difficulty rating; Puzzle; Computational model
Tags Computational model, Difficulty rating, Puzzle, Sokoban
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Radek Pelánek, Ph.D., učo 4297. Changed: 9/1/2012 15:25.
Abstract
Sokoban puzzle is very challenging problem for both humans and computers. It also illustrates differences between human and artificial intelligence - different problems are difficult for humans and for computers. Whereas algorithmic techniques for Sokoban solving have been intensively studied by previous research, factors determining difficulty for humans have not been sufficiently explained so far. We describe two methods for difficulty rating of Sokoban puzzle - a problem decomposition metric and a computational model which simulates human traversal of a state space. We evaluate these metrics on large scale data on human solving (2000 problems solved, 785 hour of problem solving activity).
Links
GAP202/10/0334, research and development projectName: Řešení obtížných dobře strukturovaných problémů: spolupráce člověka a počítače
Investor: Czech Science Foundation
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
MUNI/A/0914/2009, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
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