Workshop on Trading Agent Design and Analysis, held at 18th Int. Joint Conf. on Artificial Intelligence,
TAGA: Trading Agent Competition in Agentcities
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 the FIPA ACL messages; as the basis for agent knowledge bases via XSB-based reasoning tools; to describe and reason about DAML-S based services. TAGA extends the FIPA protocols to support open market auctions and enriches the Agentcities with auction services. The introducing 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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