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        Using genetically optimized artificial intelligence to improve gameplaying fun for strategical games

        Author
        Salge, C.
        Lipski, C.
        Mathiak, B.
        Mahlmann, Tobias
        Attention
        2299/8552
        Abstract
        Fun in computer games depends on many factors. While some factors like uniqueness and humor can only be measured by human subjects, in a strategical game, the rule system is an important and measurable factor. Classics like chess and GO have a millennia-old story of success, based on clever rule design. They only have a few rules, are relatively easy to understand, but still they have myriads of possibilities. Testing the deepness of a rule-set is very hard, especially for a rule system as complex as in a classic strategic computer game. It is necessary, though, to ensure prolonged gaming fun. In our approach, we use artificial intelligence (AI) to simulate hours of beta-testing the given rules, tweaking the rules to provide more game-playing fun and deepness. To avoid making the AI a mirror of its programmer's gaming preferences, we not only evolved the AI with a genetic algorithm, but also used three fundamentally different AI paradigms to find boring loopholes, inefficient game mechanisms and, last but not least, complex erroneous behavior.
        Publication date
        2008
        Published in
        Procs of the 2008 ACM SIGGRAPH symposium on Video games (Sandbox 2008)
        Published version
        https://doi.org/10.1145/1401843.1401845
        Other links
        http://hdl.handle.net/2299/8552
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