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

Benjamin Cowley, Darryl Charles, Michaela Black, Ray Hickey

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    Kuvaus

    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.
    Alkuperäiskielienglanti
    OtsikkoProceedings of the 5th international conference on Computational Intelligence and Games
    Sivumäärä8
    JulkaisupaikkaMilano
    KustantajaIEEE Press
    Julkaisupäivä2009
    Sivut170-177
    TilaJulkaistu - 2009
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa

    Lisätietoja


    Volume:
    Proceeding volume:

    Lainaa tätä

    Cowley, B., Charles, D., Black, M., & Hickey, R. (2009). Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling. teoksessa Proceedings of the 5th international conference on Computational Intelligence and Games (Sivut 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. Sivut 170-177
    @inproceedings{353d41e42b4045aeb6e7ade0dffd9c4c,
    title = "Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling",
    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",
    note = "Volume: Proceeding volume:",
    year = "2009",
    language = "English",
    pages = "170--177",
    booktitle = "Proceedings of the 5th international conference on Computational Intelligence and Games",
    publisher = "IEEE Press",
    address = "International",

    }

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

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    TY - GEN

    T1 - Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling

    AU - Cowley, Benjamin

    AU - Charles, Darryl

    AU - Black, Michaela

    AU - Hickey, Ray

    N1 - Volume: Proceeding volume:

    PY - 2009

    Y1 - 2009

    N2 - 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.

    AB - 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.

    M3 - Conference contribution

    SP - 170

    EP - 177

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

    PB - IEEE Press

    CY - Milano

    ER -

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