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Using Neural Networks in Agent Teams to Speed Up Solution Discovery for Hard Multi-Criteria Problems

Authors

Shaun Gittens, University of Maryland; Richard Goodwin, Jayant Kalagnanam, and Sesh Murthy, IBM T.J. Watson Research Center

Proceedings:

Proceedings of the AAAI Conference on Artificial Intelligence, 16

Volume

Issue:

Proceedings of the AAAI Conference on Artificial Intelligence, 16

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Student Abstracts

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Abstract:

The framework we use, called the Asynchronous Team (A-Team) architecture, deploys teams of optimizing agents to evolve population(s) of candidate solutions to instances of hard MC problems in order to develop very good solutions. In this framework, agents embody specific heuristics geared to create, modify, or destroy any of a number of possible solutions to a problem instance.

AAAI

Proceedings of the AAAI Conference on Artificial Intelligence, 16


ISBN 978-0-262-51106-3


July 18-22, 1999, Orlando, Florida. Published by The AAAI Press, Menlo Park, California.