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A Multi-agent Potential Field based bot for a Full RTS Game Scenario
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Responsible organisation
2009 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Computer games in general, and Real Time Strategy games in particular is a challenging task for both AI research and game AI programmers. The player, or AI bot, must use its workers to gather resources. They must be spent wisely on structures such as barracks or factories, mobile units such as soldiers, workers and tanks. The constructed units can be used to explore the game world, hunt down the enemy forces and destroy the opponent buildings. We propose a multi-agent architecture based on artificial potential fields for a full real time strategy scenario. We validate the solution by participating in a yearly open real time strategy game tournament and show that the bot, even though not using any form of path planning for navigation, is able to perform well and win the tournament.

Place, publisher, year, edition, pages
Stanford, USA: Association for the Advancement of Artificial Intelligence , 2009.
Keyword [en]
Agents, Swarm Intelligence and Emergent Behavior, Multidisciplinary Topics and Applications, Computer Games
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-7938Local ID: oai:bth.se:forskinfo9EB41CF04E58F8BDC125765C003D3284OAI: oai:DiVA.org:bth-7938DiVA: diva2:835617
Conference
Artificial Intelligence and Interactive Digital Entertainment (AIIDE)
Available from: 2012-09-18 Created: 2009-10-27 Last updated: 2017-05-23Bibliographically approved

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fulltext(228 kB)43 downloads
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Type fulltextMimetype application/pdf

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Hagelbäck, JohanJohansson, Stefan J.
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf