A Computationally Efficient Fuzzy Logic Parameterisation System

Robert Cox

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    Linguistic fuzzy expert systems provide useful tools for the implementation of Artificial Intelligence (AI) systems for computer games. However, in games where a large number of fuzzy agents are needed, the computational needs of the fuzzy expert system inclines designers to abandon this promising technique in favour of non-fuzzy AI techniques with a lower computational overhead. In this paper we investigated a parameterisation of fuzzy sets with the goal of finding fuzzy systems that have lower computational needs but still have sufficient accuracy for use in the domain of computer games. We developed a system we call short-cut fuzzy logic that has low computational needs and seems to have adequate accuracy for the games domain
    Original languageEnglish
    Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems
    EditorsAndreas Konig, Andreas Dengal, Knut Hinkelmann, Kochi Kise, Robert J Howlett, Lakhmi C Jaim
    Place of PublicationBerlin Heidelberg
    PublisherSpringer
    Pages377-386
    Number of pages10
    Volume6881
    ISBN (Print)9783642238505
    DOIs
    Publication statusPublished - 2011
    EventKnowledge-Based and Intelligent Information and Engineering Systems - Kaiserslautern, Kaiserslautern, Germany
    Duration: 12 Sep 201114 Sep 2011

    Conference

    ConferenceKnowledge-Based and Intelligent Information and Engineering Systems
    Abbreviated titleKES 2011
    CountryGermany
    CityKaiserslautern
    Period12/09/1114/09/11

    Fingerprint

    Computer games
    Parameterization
    Expert systems
    Fuzzy logic
    Artificial intelligence
    Fuzzy systems
    Fuzzy sets
    Linguistics

    Cite this

    Cox, R. (2011). A Computationally Efficient Fuzzy Logic Parameterisation System. In A. Konig, A. Dengal, K. Hinkelmann, K. Kise, R. J. Howlett, & L. C. Jaim (Eds.), Knowledge-Based and Intelligent Information and Engineering Systems (Vol. 6881, pp. 377-386). Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-23851-2_39
    Cox, Robert. / A Computationally Efficient Fuzzy Logic Parameterisation System. Knowledge-Based and Intelligent Information and Engineering Systems. editor / Andreas Konig ; Andreas Dengal ; Knut Hinkelmann ; Kochi Kise ; Robert J Howlett ; Lakhmi C Jaim. Vol. 6881 Berlin Heidelberg : Springer, 2011. pp. 377-386
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    abstract = "Linguistic fuzzy expert systems provide useful tools for the implementation of Artificial Intelligence (AI) systems for computer games. However, in games where a large number of fuzzy agents are needed, the computational needs of the fuzzy expert system inclines designers to abandon this promising technique in favour of non-fuzzy AI techniques with a lower computational overhead. In this paper we investigated a parameterisation of fuzzy sets with the goal of finding fuzzy systems that have lower computational needs but still have sufficient accuracy for use in the domain of computer games. We developed a system we call short-cut fuzzy logic that has low computational needs and seems to have adequate accuracy for the games domain",
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    Cox, R 2011, A Computationally Efficient Fuzzy Logic Parameterisation System. in A Konig, A Dengal, K Hinkelmann, K Kise, RJ Howlett & LC Jaim (eds), Knowledge-Based and Intelligent Information and Engineering Systems. vol. 6881, Springer, Berlin Heidelberg, pp. 377-386, Knowledge-Based and Intelligent Information and Engineering Systems, Kaiserslautern, Germany, 12/09/11. https://doi.org/10.1007/978-3-642-23851-2_39

    A Computationally Efficient Fuzzy Logic Parameterisation System. / Cox, Robert.

    Knowledge-Based and Intelligent Information and Engineering Systems. ed. / Andreas Konig; Andreas Dengal; Knut Hinkelmann; Kochi Kise; Robert J Howlett; Lakhmi C Jaim. Vol. 6881 Berlin Heidelberg : Springer, 2011. p. 377-386.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AB - Linguistic fuzzy expert systems provide useful tools for the implementation of Artificial Intelligence (AI) systems for computer games. However, in games where a large number of fuzzy agents are needed, the computational needs of the fuzzy expert system inclines designers to abandon this promising technique in favour of non-fuzzy AI techniques with a lower computational overhead. In this paper we investigated a parameterisation of fuzzy sets with the goal of finding fuzzy systems that have lower computational needs but still have sufficient accuracy for use in the domain of computer games. We developed a system we call short-cut fuzzy logic that has low computational needs and seems to have adequate accuracy for the games domain

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    Cox R. A Computationally Efficient Fuzzy Logic Parameterisation System. In Konig A, Dengal A, Hinkelmann K, Kise K, Howlett RJ, Jaim LC, editors, Knowledge-Based and Intelligent Information and Engineering Systems. Vol. 6881. Berlin Heidelberg: Springer. 2011. p. 377-386 https://doi.org/10.1007/978-3-642-23851-2_39