Multiple Metareasoning Agents for Flexible Query-Answering Systems

Metareasoning Agents For Query-Answering Systems

Weighted Prediction Divergence for Metareasoning

One of the most important elements of agent performance in multi-agent systems is the ability for an agent to predict how other agents will behave. In many domains there are often different modeling systems already available that one could use to make behavior predictions, but the choice of the best one for a particular domain and a specific set of agents is often unclear. To find the best avai...

Flexible Query Answering Using Distance-Based Fuzzy Relations

This paper addresses the added value that is provided by using distance-based fuzzy relations in flexible query answering. To use distances and/or concepts of gradual similarity in that domain is not new. Within the last ten years, however, results in the theory of fuzzy relations have emerged that permit a smooth and pragmatic, yet expressive and effective, integration of ordinal concepts too....

Searching the Best Collaborating Agent for Query Answering Systems

In this paper we assume a group of collaborating agents where each agent is defined as an Information System. The system is coupled with a Query Answering System and a knowledge base which is initially empty. Information Systems can be incomplete. A user issues a query to the local database S in search for objects in information system that match a desired description. In case when some compone...

On the Discovery of the Semantic Context of Queries by Game-Playing

In: Proceedings of the Sixth International Conference On Flexible Query Answering Systems (FQAS-04), Springer-Verlag LNAI 3055, pp. 203-216. c © 2004 by Springer-Verlag. To model query answering, a question arises out of how the meaning of an user’s query is functional to get a valuable answer. In this paper, (1) we investigate the question within an existing peer-to-peer architecture for knowl...