In modern computer games, `bots' - Intelligent realistic agents play a prominent role in success of a game in the market. Typically, bots are modeled using finite-state machine and then programmed via simple conditional statements which are hard-coded in bots logic. Since these bots have become quite predictable to an experienced games' player, a player might lose interest in the game. We propose the use of a game theoretic based learning rule called Fictitious Play for improving behavior of these computer game bots which will make them less predictable and hence, more enjoyable to a game player.
| Identifer | oai:union.ndltd.org:siu.edu/oai:opensiuc.lib.siu.edu:theses-1569 |
| Date | 01 May 2011 |
| Creators | Patel, Ushma Kesha |
| Publisher | OpenSIUC |
| Source Sets | Southern Illinois University Carbondale |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses |
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