Complexity analysis and playing strategies for Ludo and its variant race games

  • Faisal Alvi*
  • , Moataz Ahmed
  • *Corresponding author for this work

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

5 Scopus citations

Abstract

Ludo is a 2-4 player non-deterministic race game with the objective of moving players' pieces through a designated circuit into a winning location, in accordance with die rolls. In this paper we evaluate the state-space complexity of Ludo, and propose and analyze strategies based on four basic moves. We also provide an experimental comparison of pure and mixed versions of these strategies. This research is aimed at enhancing the domain specific knowledge for Ludo and its variant race games, which can then be used for performance improvement in temporal difference learning networks or in evolutionary game analysis for race games.

Original languageEnglish
Title of host publication2011 IEEE Conference on Computational Intelligence and Games, CIG 2011
Pages134-141
Number of pages8
DOIs
StatePublished - 2011

Publication series

Name2011 IEEE Conference on Computational Intelligence and Games, CIG 2011

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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