Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Ontology negotiation between intelligent information agents
The Knowledge Engineering Review
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Ontological Feedback in Multiagent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Balancing ontological and operational factors in refining multiagent neighborhoods
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Knowledge and Information Systems
ANEMONE: an effective minimal ontology negotiation environment
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Information agents that learn to understand each other via semantic negotiation
DAIS'06 Proceedings of the 6th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
Optimal communication vocabularies and heterogeneous ontologies
AC'04 Proceedings of the 2004 international conference on Agent Communication
Agent clustering based on semantic negotiation
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Ontology enrichment in multi agent systems through semantic negotiation
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
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A key issue in open multiagent systems is that of solving the difficulty of an agent to understand messages coming from other agents having different ontologies Semantic negotiation is a new way of facing this issue, by exploiting techniques that allow the agents of a MAS to reach mutually acceptable agreements on the exchanged terms The produced scenario is similar to that of human discussions, where human beings try to solve those situations in which the involved terms are not mutually understandable, by negotiating the semantics of these terms The HISENE approach is a recent JADE-based protocol effectively supporting semantic negotiation It is based on the idea that an agent that does not understand a term can automatically require the help of other agents that it considers particularly reliable However, HISENE does not take in account either the possibility of wrong answers coming from the requested agents or the fact that a term can have different meanings In order to cover these two important issues, in this paper we present an extension of HISENE, called HISENE2, and we show experimentally that it performs better than HISENE with respect both to the quality and the efficiency of the semantic negotiation.