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The role of Learning in systems of reusable heterogeneous design agents

Published online by Cambridge University Press:  27 February 2009

M. V. Nagendra Prasad
Affiliation:
Department of Computer Science, University of Massachusetts, Amherst, MA 01003, U.S.A.
Susan E. Lander
Affiliation:
Blackboard Technology Group, Inc., 401 Main Street, Amherst, MA 01002, U.S.A.
Victor R. Lesser
Affiliation:
Department of Computer Science, University of Massachusetts, Amherst, MA 01003, U.S.A.

Extract

In this abstract, we discuss the use of learning techniques to improve performance and solution quality in multiagent parametric design. We have implemented the L-TEAM testbed for empirical evaluation of two forms of learning (described in detail below):

Type
Research Abstracts
Copyright
Copyright © Cambridge University Press 1996

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References

REFERENCES

Prasad, M.V.N., Lesser, V.R., & Lander, S.E. (1995a). Learning organizational roles in a heterogeneous multi-agent system. Technical report TR 95–35, Computer Science Department, University of Massachusetts.Google Scholar
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