Context. Interest in and research on neural networks and their capacity for finding solutions to nonlinear problems has increased greatly in recent years. Objectives. This thesis attempts to compare competitive coevolution to traditional neuroevolution in the game StarCraft: Brood War. Methods. Implementing and evolving AI-controlled players for the game StarCraft and evaluating their performance. Results. Fitness values and win rates against the default StarCraft AI and between the networks were gathered. Conclusions. The neural networks failed to improve under the given circumstances. The best networks performed on par with the default StarCraft AI.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-15377 |
| Date | January 2017 |
| Creators | Bloom, Filip |
| Publisher | Blekinge Tekniska Högskola, Institutionen för kreativa teknologier |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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