Attaining human-competitive game playing with genetic programming

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

2 Scopus citations

Abstract

We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strategies for three games: backgammon, chess endgames, and robocode (tank-fight simulation). Evolved game players are able to hold their own - and often win - against human or human-based competitors. This talk has a twofold objective: first, to review our recent results of applying genetic programming in the domain of games; second, to formulate the merits of genetic programming in acting as a tool for developing strategies in general, and to discuss the possible design of a strategizing machine.

Original languageEnglish
Title of host publicationCellular Automata - 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Proceedings
PublisherSpringer Verlag
Pages13
Number of pages1
ISBN (Print)3540409297, 9783540409298
DOIs
StatePublished - 1 Jan 2006
Event7th International Conference on Cellular Automata for Research and Industry, ACRI 2006 - Perpignan, France
Duration: 20 Sep 200623 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4173 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Cellular Automata for Research and Industry, ACRI 2006
Country/TerritoryFrance
CityPerpignan
Period20/09/0623/09/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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