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dc.contributor.author Lee, Mark
dc.contributor.author Lacey, Nick
dc.date.accessioned 2006-04-06T14:42:30Z
dc.date.available 2006-04-06T14:42:30Z
dc.date.issued 2003-08-01
dc.identifier.citation Lee , M & Lacey , N 2003 , ' The Influence of Epistemology on the Design of Artificial Agents ' Minds and Machines , vol 13 , no. 3 , pp. 367-395 . , 10.1023/A:1024197120231 en
dc.identifier.issn 0924-6495
dc.identifier.other PURE: 67700
dc.identifier.other dspace: 2160/110
dc.identifier.uri http://hdl.handle.net/2160/110
dc.description Lee, M. H., Lacey, N. J. (2003). The Influence of Epistemology on the Design of Artificial Agents. Minds and Machines, 13 (3), 367-395 en
dc.description.abstract Unlike natural agents, artificial agents are, to varying extent, designed according to sets of principles or assumptions. We argue that the designers philosophical position on truth, belief and knowledge has far reaching implications for the design and performance of the resulting agents. Of the many sources of design information and background we believe philosophical theories are under-rated as valuable influences on the design process. To explore this idea we have implemented some computer-based agents with their control algorithms inspired by two strongly contrasting philosophical positions. A series of experiments on these agents shows that, despite having common tasks and goals, the behaviour of the agents is markedly different and this can be attributed to their individual approaches to belief and knowledge. We discuss these findings and their support for the view that epistemological theories have a particular relevance for artificial agent design. en
dc.format.extent 29 en
dc.language.iso eng
dc.relation.ispartof Minds and Machines en
dc.subject autonomous agents en
dc.subject agent design philosophy en
dc.subject agent knowledge bases en
dc.subject relations between philosophy and artificial intelligence en
dc.title The Influence of Epistemology on the Design of Artificial Agents en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1023/A:1024197120231
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en


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