A new chess variant for gaming AI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article, we describe a newly-invented chess variant called Switch-Side Chain-Chess that is demonstrably more challenging for humans and computers than the standard, international version of the game. A new rule states that players have the choice to switch sides with each other if a continuous link of pieces is created on the board. This simple rule increases significantly the complexity of chess, as perceived by the players, but not the actual size of its game tree. The new variant therefore more easily allows board game researchers to focus on the 'higher level' aspects of intelligence such as perception and intuition without being constrained by a larger search space as they would be if using a game like Go or Arimaa. They can also immediately build upon the tried and tested approaches already being used in strong chess engines instead of having to start from scratch or a lower level of progress as is the case with other games of this type.

Original languageEnglish
Title of host publicationEntertainment Computing - 12th International Conference, ICEC 2013, Proceedings
PublisherSpringer Verlag
Pages9-16
Number of pages8
ISBN (Print)9783642411052
DOIs
Publication statusPublished - 01 Jan 2013
Event12th International Conference on Entertainment Computing, ICEC 2013 - Sao Paulo, Brazil
Duration: 16 Oct 201318 Oct 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8215 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Entertainment Computing, ICEC 2013
CountryBrazil
CitySao Paulo
Period16/10/1318/10/13

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Iqbal, A. (2013). A new chess variant for gaming AI. In Entertainment Computing - 12th International Conference, ICEC 2013, Proceedings (pp. 9-16). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8215 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-41106-9_2