Agent-based Semantic Negotiation Protocol for Semantic Heterogeneity Solving in Multi-agent System

In this article, we propose an interactive agent model in an open and heterogeneous multi-agent system (MAS). Our model allows agents to autonomously communicate between each other through semantic heterogeneity. The communication problem can be expressed by the calculation based on the abilities acquired in the receiver agent, compared to the message sent by the sender agent. Hence, the semantic heterogeneity should be resolved in the message processing. The agent can autonomously enrich its own ontology by using semantic negotiation approach in several steps. We develop firstly, a model using an ontology alignment framework. Then, we enhance a similarity measure to select the most similar pairs by combining a psychological knowledge of the relevance, the resemblance, and the non-symmetry of similarity. At the end, we suggest a protocol for supporting semantic negotiation. In order to explain our approach, we implement a simple benchmark production system on JADE.