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Coevolution and turnbased games
University of Skövde, School of Humanities and Informatics.
2005 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Artificial intelligence plays an increasingly important role in modern computer games. As the complexity of the games increase, so does the complexity of the AI.

The aim of this dissertation is to investigate how AI for a turnbased computer game can coevolve into playing smarter by combining genetic algorithms with neural networks and using a reinforcement learning regime.

The results have shown that a coevolved AI can reach a high performance in this kind of turnbased strategy games. It also shows that how the data is coded and decoded and which strategy that is used plays a very big role in the final results

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 2005. , 38 p.
Keyword [en]
coevolution, turnbased games, genetic algorithms, neural networks
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-958OAI: oai:DiVA.org:his-958DiVA: diva2:3382
Presentation
(English)
Uppsok
Technology
Supervisors
Available from: 2008-03-07 Created: 2008-03-07 Last updated: 2009-11-25

Open Access in DiVA

fulltext(1425 kB)85 downloads
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CiteExportLink to record
Permanent link

Direct link
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