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dc.contributor.author Nick en_US
dc.contributor.author Mark en_US
dc.contributor.editor Eduardo en_US
dc.contributor.editor Daniel en_US
dc.contributor.editor Dimitar en_US
dc.date.accessioned 2006-04-06T14:53:29Z
dc.date.available 2006-04-06T14:53:29Z
dc.date.issued 2003 en_US
dc.identifier http://dx.doi.org/10.1007/3-540-44826-8_14 en_US
dc.identifier 978-3-540-40068-4 en_US
dc.identifier 978-3-540-44826-6 en_US
dc.identifier.citation Lacey , N & Lee , M 2003 , ' The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents ' . in E Alonso , D Kudenko & D Kazakov (eds) , Adaptive Agents and Multi-Agent Systems : Adaptation and Multi-Agent Learning . Springer Science+Business Media , pp. 216-238 . , 10.1007/3-540-44826-8_14 en_US
dc.identifier.other PURE: 563435 en_US
dc.identifier.other dspace: 2160/111 en_US
dc.identifier.uri http://hdl.handle.net/2160/111
dc.description.abstract The purpose of this research is to show the relevance of philosophical theories to agent knowledge base (AKB) design, implementation, and behaviour. We will describe how artificial agent designers face important problems that philosophers have been working on for centuries. We will then show that it is possible to design different agents to be explicitly based on different philosophical approaches, and that doing so increases the range of agent behaviour exhibited by the system. We therefore argue that alternative, sometimes counter-intuitive, conceptions of the relationship between an agent and its environment may offer a useful starting point when considering the design of an agent knowledge base. en_US
dc.publisher Springer Science+Business Media en_US
dc.relation.ispartof Adaptive Agents and Multi-Agent Systems en_US
dc.title The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents en_US
dc.contributor.pbl Department of Computer Science en_US
dc.contributor.pbl Intelligent Robotics Group en_US


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