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dc.contributor.authorAvila-Garcia, O.
dc.contributor.authorCañamero, Lola
dc.date.accessioned2013-02-05T10:30:05Z
dc.date.available2013-02-05T10:30:05Z
dc.date.issued2005
dc.identifier.citationAvila-Garcia , O & Cañamero , L 2005 , Hormonal Modulation of Perception in Motivation-Based Action Selection Architectures . in Procs of the Symposium on Agents that Want and Like : Motivational and Emotional Roots of Cognition and Action, AISB 05: Social Intelligence and Interaction in Animals, Robots and Agents, . SSAISB , pp. 9-16 .
dc.identifier.otherPURE: 95479
dc.identifier.otherPURE UUID: fd0adbec-9abe-4d9c-9d20-51fc333f5fc8
dc.identifier.otherdspace: 2299/2062
dc.identifier.otherScopus: 84858834499
dc.identifier.urihttp://hdl.handle.net/2299/9886
dc.description.abstractThe animat approach to artificial intelligence proposes biologically-inspired control mechanisms for autonomous robots. One of the related subproblems is action selection or what to do next . Many action selection architectures have been proposed. Motivation-based architectures implement a combination between internal and external stimuli to choose the appropriate behavior. Recent studies have pointed out that a second order mechanism to control motivation-based architectures would improve--dramatically their performance. Drawing on the notion of biological hormones we have modeled two of the functionalities ascribed to them in order to improve the adaptivity of motivation-based architectures. We have tested our hormone-like mechanisms in dynamic and unpredictable robotic scenarios. We analyze the results in terms of interesting behavioral phenomena that emerge from the interaction of these artificial hormones with the rest of architectural elements.en
dc.language.isoeng
dc.publisherSSAISB
dc.relation.ispartofProcs of the Symposium on Agents that Want and Like
dc.rightsOpen
dc.titleHormonal Modulation of Perception in Motivation-Based Action Selection Architecturesen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2005
rioxxterms.versionVoR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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