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Innovative Concepts for Agent-Based Systems
Learning in the Broker Agent
January 1, 2003
Service matching is one of the crucial elements in the success of large, open agent systems. While finding "perfect" matches is always desirable, it is not always possible. The capabilities of an agent may change over time; some agents may be unwilling to, or unable to, communicate their capabilities at the right level of detail. The solution we propose is to have the broker agent dynamically refine the agent's capability model and to conduct performance rating. The agent capability model will be updated using the information from the consumer agent feedback, capability querying, etc. The update process is based on a concept of a "dynamic weight sum system", as well as on the local distribution of the agent services. We assume that the agents in the system share a common domain ontology represented in DAML+OIL, and that their capabilities will be described using DAML-S.
InBook
Springer Berlin/Heidelberg
Lecture Notes in Computer Science
2464
DOI: 10.1007/978-3-540-45173-0\_8
Revised version of a paper originally resented at the Innovative Concepts for Agent-Based Systems, First International Workshop on Radical Agent Concepts, {WRAC} 2002, McLean, VA, USA, January 16-18, 2002/
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