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dc.contributor.authorSlater, Stuart
dc.contributor.authorMoreton, Robert
dc.contributor.authorBuckley, Kevan
dc.date.accessioned2008-12-03T14:23:09Z
dc.date.available2008-12-03T14:23:09Z
dc.date.issued2008
dc.identifier.citationIn: Mehdi, Q., Moreton, R. and Slater, S. (eds), Proceedings of CGAMES’2008. 13th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games. Light House Media Centre, Wolverhampton, UK, 3-5 November 2008.
dc.identifier.isbn9780954901660
dc.identifier.urihttp://hdl.handle.net/2436/41783
dc.description.abstractThe research presented here, attempts to review a range of techniques commonly categorized under the umbrella of artificial intelligence (A.I.) that could be applied when developing agents with emotions in a range of applications. The paper focuses on anger (and its related emotions), an emotion strongly linked with aggression which of course forms the basis of many computer games where killing or attacking other players or in-game agents is often central to the game’s purpose. The paper begins with a psychology focused review of anger and its related emotions, before presenting techniques to encode some of these elements using Finite State Machines and Fuzzy Logic.
dc.language.isoen
dc.publisherUniversity of Wolverhampton, School of Computing and Information Technology
dc.subjectGames
dc.subjectArtificial Intelligence
dc.subjectEmotional agents
dc.subjectAnger
dc.titleA.I. Techniques for Modelling Anger in Emotional Agents
dc.title.alternativeProceedings of CGAMES’2008
dc.typeConference contribution
refterms.dateFOA2018-08-20T13:54:52Z
html.description.abstractThe research presented here, attempts to review a range of techniques commonly categorized under the umbrella of artificial intelligence (A.I.) that could be applied when developing agents with emotions in a range of applications. The paper focuses on anger (and its related emotions), an emotion strongly linked with aggression which of course forms the basis of many computer games where killing or attacking other players or in-game agents is often central to the game’s purpose. The paper begins with a psychology focused review of anger and its related emotions, before presenting techniques to encode some of these elements using Finite State Machines and Fuzzy Logic.


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