Automated ontology evolution in a multi-agent system
M. Afsharchi, und B. Far. 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.