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Towards generic explanations for pen and paper puzzles with MUSes

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Espasa_2021_Ceur_workshop_proceedings_pen_paper_puzzles_CC.pdf (547.5Kb)
Date
02/07/2021
Author
Espasa Arxer, Joan
Gent, Ian P.
Hoffmann, Ruth
Jefferson, Christopher
McIlree, Matthew J.
Lynch, Alice M.
Keywords
QA75 Electronic computers. Computer science
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Abstract
Pen and paper puzzles like Sudoku, Futoshiki and Star Battle are hugely popular. Solving such puzzles can be a trivial task for modern AI systems. However, most AI systems solve problems using a form of backtracking, while people try to avoid backtracking as much as possible. This means that existing AI systems do not output explanations about their reasoning that are meaningful to people. We present Demystify, a tool which allows puzzles to be expressed in a high-level constraint programming language and uses MUSes to allow us to produce descriptions of steps in the puzzle solving. We give several improvements to the existing techniques for solving puzzles with MUSes, which allow us to solve a range of significantly more complex puzzles and give higher quality explanations. We demonstrate the effectiveness and generality of Demystify by comparing its results to documented strategies for solving a range of pen and paper puzzles by hand, showing that our technique can find many of the same explanations.
Citation
Espasa Arxer , J , Gent , I P , Hoffmann , R , Jefferson , C , McIlree , M J & Lynch , A M 2021 , Towards generic explanations for pen and paper puzzles with MUSes . in K Martin , N Wiratunga & A Wijekoon (eds) , Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021 . CEUR Workshop Proceedings , vol. 2894 , pp. 56-63 , SICSA eXplainable Artifical Intelligence Workshop , Aberdeen , United Kingdom , 1/06/21 . < http://ceur-ws.org/Vol-2894/ >
 
workshop
 
Publication
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021
ISSN
1613-0073
Type
Conference item
Rights
Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).
Description
This research was supported by the Royal Society URF\R\180015 .
Collections
  • University of St Andrews Research
URL
http://ceur-ws.org/Vol-2894/
URI
http://hdl.handle.net/10023/23663

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

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