IMPROVING BEHAVIOR OF COMPUTER GAME BOTS USING FICITITOUS PLAY
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...
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| Format: | Others |
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OpenSIUC
2011
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| Online Access: | https://opensiuc.lib.siu.edu/theses/562 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1569&context=theses |
| Summary: | 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. |
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