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Abstract

Early agent research recognised that co-operating agents require access to unambiguous, semantic description of the same concept, entity or object. In fact, agent-based research on this problem anticipates many of the current initiatives of the Semantic Web project. The proposed solution involves developing a domain-specific ontology that can be mapped to other ontologies as required. In this paper we describe an alternative approach which allows autonomous agents to index shared objects without requiring ex-ante agreement on an ontology. Using a process of distributed negotiation, each agent builds a lexicon of the problem-solving competences of other agents. We present an overview of our work using this approach in three domains: a web services scenario, a multi-case-based agent approach and finally, Tagsocratic, a blog-indexing service. We then describe our future work on several open issues related to this research.

@inproceedings{hayes05informationAgents,
  author={C. Hayes and P. Avesani and M. Cova},
  title={Language Games: Learning Shared Concepts among Distributed Information Agents},
  year={2005},
  booktitle={IJCAI-05 Workshop: Multi-Agent Information Retrieval and Recommender Systems},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/hayes05informationAgents.html}
}

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