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Design agents that learn

Published online by Cambridge University Press:  27 February 2009

Dan L. Grecu  and
David C. Brown
Dan L. Grecu
Affiliation:
Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609, U.S.A.
David C. Brown
Affiliation:
Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609, U.S.A.
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Abstract

This research originates in the work started several years ago at Worcester Polytechnic Institute dedicated to the investigation, modelling and evaluation of multiagent based design. The main thrust behind our approach is the idea of finding elementary patterns of agent problem-solving and interaction in design tasks. To achieve this goal we introduced and defined the concept of Single Function Agents, (SiFAs) (Dunskus, 1995; SiFA, 1995). SiFAs are agents specialized to perform one single generic function during the design process. Some typical functions would be selection, evaluation, and critique. These types of agents can be instantiated for different, particular design domains.

Type
Research Abstracts
Information
AI EDAM , Volume 10 , Issue 2: Special Issue: Machine learning in design , April 1996 , pp. 149 - 150
Copyright
Copyright © Cambridge University Press 1996

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References

REFERENCES

Dunskus, B.V., Grecu, D.L., Brown, D.C, & Berker, I. (1995). Using Single Function Agents to investigate conflict. AI EDAM 9(4), 299–312.Google Scholar
Grecu, D.L., & Brown, D.C. (1994). Learning by Design Agents During Negotiation. AI in Design Conference – Workshop on Machine Learning. Lausanne, Switzerland.Google Scholar
SiFa (1995). Single Function Agents Research, web page, http://cs.wpi. edu/Research/aidg/SiFA/sifa.html, AI in Design Group, Worcester Polytechnic Institute, Worcester, MA 01609, USA.Google Scholar