Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Enabling technology for knowledge sharing
AI Magazine
Multiagent systems
Machine Learning
Mutual online concept learning for multiple agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Integrating Knowledge on the Web
IEEE Internet Computing
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Re-use of interaction protocols for agent-based control applications
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
Agent-based distributed data mining: the KDEC scheme
Intelligent information agents
An Agent-Based Data Mining System for Ontology Evolution
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
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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.