Automated ontology evolution in a multi-agent system

This research addresses the formation of new concepts and their corresponding ontology in a multiagent 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.

• Type: Conference
• Year: 2006
• Where: INFOSCALE
• Authors: Mohsen Afsharchi, Behrouz H. Far
• Keywords: Individual Agents, Individual Autonomous Agents, INFOSCALE 2006, Research Individual Agents