A heuristic based approach to team based behaviours in real time strategy games

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

This paper explores aspects of high level strategic cooperation and coordination between AI players. A cooperative team-based AI player for the commercial RTS game StarCraft is created using team-based heuristics, state machines and influence maps. Effective teamwork inherently improves the performance of teams in team-based games; as a result, the effectiveness of the AI implementation is determined by measuring the improvement in the AI's overall performance when playing team-based games. Various experiments are carried out to test the effectiveness of each team-based behaviour. Results demonstrate that the coordinated and cooperative team of AI players gain a decisive advantage over non-cooperative teams, and that, as expected, teamwork is vital to the success of a team in RTS games. It is concluded from these results that an AI which is capable of team-based cooperation can be successfully created for an RTS using a heuristic based approach.

Original languageEnglish
Title of host publication11th International Conference on Intelligent Games and Simulation, GAME-ON 2010
Pages35-39
Number of pages5
Publication statusPublished - 2010
Event11th International Conference on Intelligent Games and Simulation, GAME-ON 2010 - Leicester, United Kingdom
Duration: 17 Nov 201019 Nov 2010

Publication series

Name11th International Conference on Intelligent Games and Simulation, GAME-ON 2010

Conference

Conference11th International Conference on Intelligent Games and Simulation, GAME-ON 2010
Country/TerritoryUnited Kingdom
CityLeicester
Period17/11/1019/11/10

Keywords

  • Artificial intelligence
  • Heuristcs
  • RTS games
  • Teamwork

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