Workshop on Trading Agent Design and Analysis, held at 18th Int. Joint Conf. on Artificial Intelligence,

TAGA: Trading Agent Competition in Agentcities

Youyong Zou, Tim Finin, Li Ding, Harry Chen, and Rong Pan

August 9, 2003

Travel Agent Game in Agentcities (TAGA) is a framework that extends and enhances the Trading Agent Competition (TAC) scenario to work in Agentcities, an open multi-agent environment based on FIPA-compliant systems. TAGA uses the semantic web languages and tools (RDF and DAML+OIL) to specify and publish the underlying common ontologies; as a content language within FIPA ACL messages; as the basis for agent knowledge bases via XSB-based reasoning tools; and to describe and reason about DAML-S-based services. TAGA extends the FIPA protocols to support open-market auctions and enriches Agentcities with auction services. The introduction of the semantic web languages improves the interoperability among agents. TAGA is intended as a platform for research in multiagent systems, the semantic web, and automated trading in dynamic markets, as well as a self-contained application for teaching and experimentation with these technologies.

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Tags: agent, agentcities, ai, daml, fipa, fipa, owl, rdf, semantic web

Type: InProceedings

Publisher: IJCAI

Organization: IJCAI

Downloads: 393 downloads