Authors:
Dhouha Ben Noureddine
1
;
Atef Gharbi
2
and
Samir ben Ahmed
3
Affiliations:
1
University of Carthage and University of El Manar, Tunisia
;
2
University of Carthage, Tunisia
;
3
University of El Manar, Tunisia
Keyword(s):
Multi-agent System, Ontology, Semantic Heterogeneity, Semantic Negotiation Protocol, Ontology Alignment.
Abstract:
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.