Automated ontology evolution in a multi-agent system

, und . Proceedings of the 1st international conference on Scalable information systems, New York, NY, USA, ACM, (2006)


This research addresses the formation of new concepts and their corresponding ontology in a multi-agent system where individual autonomous agents try to learn new concepts by consulting several other agents. In this research individual agents create and learn their distinct conceptualization and rather than a commitment to a common ontology they use their own ontologies. In this paper multi-agent supervised learning of concepts among individual agents with diverse conceptualization and different ontologies is introduced and demonstrated through an intuitive example in which supervisors are other agents rather than a human.


Automated ontology evolution in a multi-agent system

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