Improving behavior of computer game bots using fictitious play |
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Authors: | Ushma Kesha Patel Purvag Patel Henry Hexmoor and Norman Carver |
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Affiliation: | Department of Computer Science, Southern Illinois University, Carbondale IL 62901, USA |
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Abstract: | In modern computer games, “bots” — intelligent realistic agents play a prominent role in the popularity 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 a enjoyable game. |
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Keywords: | Agents computer game bots fictitious play game theory learning Nash equilibrium |
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