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

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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