Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling

Benjamin Cowley, Darryl Charles, Michaela Black, Ray Hickey

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    We describe the results of a modeling methodology that combines the formal choice-system representation of decision theory with a human player-focused description of the behavioral features of game play in Pacman. This predictive player modeler addresses issues raised in previous work [1] and [2], to produce reliable accuracy. This paper focuses on using player-centric knowledge to reason about player behavior, utilizing a set of features which describe game-play to obtain quantitative data corresponding to qualitative behavioral concepts.
    Original languageEnglish
    Title of host publicationProceedings of the 5th international conference on Computational Intelligence and Games
    Number of pages8
    Place of PublicationMilano
    PublisherIEEE Press
    Publication date2009
    Pages170-177
    Publication statusPublished - 2009
    MoE publication typeA4 Article in conference proceedings

    Cite this

    Cowley, B., Charles, D., Black, M., & Hickey, R. (2009). Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling. In Proceedings of the 5th international conference on Computational Intelligence and Games (pp. 170-177). Milano: IEEE Press.
    Cowley, Benjamin ; Charles, Darryl ; Black, Michaela ; Hickey, Ray. / Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling. Proceedings of the 5th international conference on Computational Intelligence and Games. Milano : IEEE Press, 2009. pp. 170-177
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    abstract = "We describe the results of a modeling methodology that combines the formal choice-system representation of decision theory with a human player-focused description of the behavioral features of game play in Pacman. This predictive player modeler addresses issues raised in previous work [1] and [2], to produce reliable accuracy. This paper focuses on using player-centric knowledge to reason about player behavior, utilizing a set of features which describe game-play to obtain quantitative data corresponding to qualitative behavioral concepts.",
    author = "Benjamin Cowley and Darryl Charles and Michaela Black and Ray Hickey",
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    Cowley, B, Charles, D, Black, M & Hickey, R 2009, Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling. in Proceedings of the 5th international conference on Computational Intelligence and Games. IEEE Press, Milano, pp. 170-177.

    Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling. / Cowley, Benjamin; Charles, Darryl; Black, Michaela; Hickey, Ray.

    Proceedings of the 5th international conference on Computational Intelligence and Games. Milano : IEEE Press, 2009. p. 170-177.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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    BT - Proceedings of the 5th international conference on Computational Intelligence and Games

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    Cowley B, Charles D, Black M, Hickey R. Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling. In Proceedings of the 5th international conference on Computational Intelligence and Games. Milano: IEEE Press. 2009. p. 170-177