In this thesis we used genetic algorithms as a core gameplay mechanic for games. We created a flexible genetic algorithms framework that allowed us to iterate quickly through various designs and prototypes of games. We developed two iterations of fighting robots game and a racing game that used our framework to implement genetic algorithms. Playtesting showed that such a sophisticated game mechanic like this one can be fun and appealing to players.
| Identifer | oai:union.ndltd.org:wpi.edu/oai:digitalcommons.wpi.edu:etd-theses-2332 |
| Date | 28 April 2016 |
| Creators | Terletskyy, Oleksandr |
| Contributors | Mark L. Claypool, Reader, Brian Moriarty, Reader, Charles Rich, Advisor |
| Publisher | Digital WPI |
| Source Sets | Worcester Polytechnic Institute |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Masters Theses (All Theses, All Years) |
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