The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents
Contribuinte(s) |
Alonso, Eduardo Kudenko, Daniel Kazakov, Dimitar Department of Computer Science Intelligent Robotics Group |
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Data(s) |
06/04/2006
06/04/2006
2003
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Resumo |
N.J. Lacey and M.H. Lee, ?The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents?, Springer-Verlag Lecture Notes on Artificial Intelligence, Vol 2636 on Adaptive Agents and Multi-Agent Systems, 2002. 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. |
Identificador |
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 Nature , pp. 216-238 . DOI: 10.1007/3-540-44826-8_14 978-3-540-40068-4 978-3-540-44826-6 PURE: 563435 PURE UUID: e3baa841-1446-4152-806d-cfc198d5aa1d dspace: 2160/111 |
Publicador |
Springer Nature |
Relação |
Adaptive Agents and Multi-Agent Systems |
Idioma(s) |
eng |
Direitos | |
Tipo |
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/chapter |