An Evolutionary Agent Approach to Dots and Boxes

Terry Bossomaier, Anthony Knittel, M Harre, A Snyder

Research output: Book chapter/Published conference paperConference paperpeer-review

642 Downloads (Pure)

Abstract

We describe the evolution of intelligent agent teams for the combinatorial difficult game of Dots and Boxes. Agents operate within an artificial economy deriving reward only from won games, with no other kinds of feedback. By providing representations of component graph structures, upon which agents can evolve rules, the agent teams achieve significant performance against existing AI players based around established mathematical frameworks.
Original languageEnglish
Title of host publicationIASTED International Conference on Applied Simulation and Modelling (ASM 2007)
EditorsF De Felice
Place of PublicationCanada
PublisherACTA Press
Pages514-807
Number of pages294
ISBN (Electronic)9780889866874
Publication statusPublished - 2007
EventInternational Association of Science and Technology for Development (IASTED) International Conference - Palma De Mallorca, Spain, Spain
Duration: 29 Aug 200731 Aug 2007

Conference

ConferenceInternational Association of Science and Technology for Development (IASTED) International Conference
Country/TerritorySpain
Period29/08/0731/08/07

Fingerprint

Dive into the research topics of 'An Evolutionary Agent Approach to Dots and Boxes'. Together they form a unique fingerprint.

Cite this