Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Three Implementations of SquishQL, a Simple RDF Query Language
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Domain Independent Learning of Ontology Mappings
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
OWL-QL-a language for deductive query answering on the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
A bayesian network approach to ontology mapping
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A multi-agent intelligent environment for medical knowledge
Artificial Intelligence in Medicine
An ontology-based approach to interoperability for Bayesian agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Interoperability for Bayesian agents in the semantic web
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
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This paper describes an approach to promote interoperability among heterogeneous agents that are part of an Educational Portal (PortEdu). We focus on a specific agent, the social agent, adding all the necessary functionality for him to interact with agents that aren't fully aware of its context. The social agent belongs to a Multi-agent Learning Environment designed to support training of diagnostic reasoning and modeling of domains with complex and uncertain knowledge, AMPLIA. The knowledge of the social agent is implemented with Bayesian networks, which allows the agent to represent its probabilistic knowledge and make its decisions. However, to communicate with agents outside AMPLIA, it is necessary to express such probabilistic knowledge in a way that all agents may process. Such requirement is addressed using OWL, an ontology language developed by W3C to be used on the Semantic Web.