<p>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.</p><p>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.</p><p>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</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:his-958 |
| Date | January 2005 |
| Creators | Långberg, Joakim |
| Publisher | University of Skövde, School of Humanities and Informatics, Skövde : Institutionen för kommunikation och information |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, text |
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