Automatic synthesis of generalized winning strategies of impartial combinatorial games (CCF B)

Kaisheng Wu, Yong Qiao, Kaidong Chen, Fei Rong, Liangda Fang, Zhao Rong Lai, Qian Dong, Liping Xiong

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

One of the challenging problems of impartial combinatorial games (ICGs) is to construct generalized winning strategies for possibly infinitely many states. In this paper, we investigate synthesizing generalized winning strategies for ICGs. To this end, we first propose a logical framework to formalize ICGs based on linear integer arithmetic. We then propose an approach to generating the winning strategy for ICGs. Experimental results on several games demonstrate that our approach is effective in most of these games.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
EditorsBo An, Amal El Fallah Seghrouchni, Gita Sukthankar
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages2041-2043
Number of pages3
ISBN (Electronic)9781450375184
Publication statusPublished - 2020
Externally publishedYes
Event19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 - Virtual, Auckland, New Zealand
Duration: 19 May 2020 → …

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2020-May
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
Country/TerritoryNew Zealand
CityVirtual, Auckland
Period19/05/20 → …

Keywords

  • Impartial combinatorial games
  • Strategy synthesis

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