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Using Single Function Agents to investigate conflict

Published online by Cambridge University Press:  27 February 2009

B.V. Dunskus ,
D.L. Grecu ,
D.C. Brown  and
I. Berker
B.V. Dunskus
Affiliation:
Computer Science Department, WPI, Worcester, MA 01609, U.S.A.
D.L. Grecu
Affiliation:
Computer Science Department, WPI, Worcester, MA 01609, U.S.A.
D.C. Brown
Affiliation:
Computer Science Department, WPI, Worcester, MA 01609, U.S.A.
I. Berker
Affiliation:
Computer Science Department, WPI, Worcester, MA 01609, U.S.A.
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Abstract

Design Expert Systems can be built using many small, cooperating, limited function expert systems called Single Function Agents (SiFAs). Using this approach we will be able to investigate and discover primitive problem-solving and interaction patterns, specific for multiagent design systems, and should gain a deeper understanding of the types of knowledge involved. This paper presents some categories of conflicts that have been studied using the SiFA approach, and makes a brief presentation of the SINE implementation of SiFAs.

Keywords

Multiagent Design SystemsSingle Function AgentsConflict ResolutionNegotiation
Type
Articles
Information
AI EDAM , Volume 9 , Issue 4 , September 1995 , pp. 299 - 312
Copyright
Copyright © Cambridge University Press 1995

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References

REFERENCES

Bond, A.H., & Gasser, L. (Eds.) (1988). Readings in distributed artificial intelligence. Morgan Kaufmann Publishers Inc., San Mateo, California.Google Scholar
Brown, D.C. (1992a). Design. In Encyclopedia of AI, 2nd ed. (Shapiro, S.; Ed.), pp. 331–339. J. Wiley, New York.Google Scholar
Brown, D.C. (1992b). The reusability of DSPL systems. Preprints of the Workshop on Reusable Design Systems: Understanding the Role of Knowledge. Second International Conference on Artificial Intelligence in Design, Carnegie-Mellon University, Pittsburgh.Google Scholar
Brown, D.C, & Chandrasekaran, B. (1989). Design problem solving: Knowledge structures and control strategies. Research Notes in Artificial Intelligence Series, Pitman Publishing, Ltd., London, England.Google Scholar
Bussmann, S., & Mueller, H.J. (1993). Bargaining agents. In Progress in Artificial Intelligence (EPIA93), (Filgueiras and Damas, Eds.), Vol. 727. Springer Verlag Lecture Notes in AI, New York.Google Scholar
Davis, R., & Smith, R.G. (1981). Negotiation as a metaphor for distributed problem solving. In Artificial Intelligence 20, pp. 63–100, 1983. North Holland. Reprinted in Readings in Distributed Artificial Intelligence, (Bond, A.H. and Gasser, L., Eds.), pp. 333–356. Morgan Kaufmann Publishers, Inc., San Mateo, California.Google Scholar
Douglas, R.E. JrBrown, D.C., & Zenger, D.C. (1993). A concurrent engineering demonstration & training system for engineers and managers. Int. J. of CAD/CAM and Comput. Graphics. (3), 263–301.Google Scholar
Dunskus, B.V. (1994). Single function agents and their negotiation behavior in expert systems. Masters Thesis, Worcester Polytechnic Institute.Google Scholar
Finin, T., Weber, J., Wiederhold, G., Genesereth, M., Fritzon, R., McKay, D., McGuire, J., Pelavin, R., Shapiro, S., & Beck, C. (1993). DRAFT Specification of the KQML Agent-Communication Language. The DARPA Knowledge Sharing Initiative External Interfaces Working Group.Google Scholar
Gennari, J.H., Langley, P., & Fisher, D. (1989). Models of incremental concept formation. Artif. Intell. 40(1–3), 11–61.Google Scholar
Giarratano, J.C., & Riley, G. (1994). Expert systems: Principles and programming, 2nd ed. PWS Publishing Co., Boston, MA.Google Scholar
Huhns, M.N. (Ed.). (1987). Distributed artificial intelligence. Vol. 1. Pitman Publishing, London and Morgan Kaufmann Publishers, San Mateo, CA.Google Scholar
Huhns, M.N., & Gasser, L. (Eds.). (1989). Distributed Artificial Intelligence, Pitman Publishing, London and Morgan Kaufmann Publishers, San Mateo, CA.Google Scholar
Klein, M. (1991). Supporting conflict resolution in cooperative design systems. In IEEE Transactions on Systems, Man, and Cybernetics 21(6), 1179–1390.Google Scholar
Kuokka, D.R., McGuire, J.G., Pelavin, R.N., Weber, H.C., Tenebaum, H.M., Gruber, T., & Olsen, G.SHADE: Technology for knowledge-based collaborative engineering. In AAAI Workshop on Collaborative Design 1993 (Concurrent Engineering: Research and Applications, 1, 137–146).Google Scholar
Lander, S.E., & Lesser, V.R. (1991). Customizing distributed search among agents with heterogeneous knowledge. In Proc. 5th Int. Symp. AI Applications in Manufacturing & Robotics, Cancun, Mexico.Google Scholar
Mitchell, T.M., Keller, R., & Kedar-Cabelli, S. (1986). Explanation-based generalization. Machine Learning 1(1). 47–80.Google Scholar
Searle, J. (1965). What is a speech act. In Philosophy in America. (Black, M., Ed.). George Allen & Unwin Ltd., London, 1965. Reprinted in Readings in the Philosophy of Language, Rosenberg J.R. and Travis C., Eds.). Prentice-Hall Inc., New Jersey.Google Scholar
Sycara, K.P. (1990). Cooperative negotiation in concurrent engineering design. In Cooperative Engineering Design, Springer Verlag Publications, New York.Google Scholar
Taleb-Bendiab, A., & Oh, V. (1993). Speech-Act based Communication Protocol to support Multi-Agent Cooperative Design Systems. In Proc. 1993 AI in Eng. Conf, p. 107. Computational Mechanics Inc.Google Scholar
Victor, S.K. (1993). Negotiation between distributed agents in a concurrent engineering system. Masters Thesis, Worcester Polytechnic Institute.Google Scholar
Victor, S.K., Brown, D.C., Bausch, J.J., Zenger, D.C., Ludwig, R., – Sisson, R.D. (1993). Using multiple expert systems with distinct roles in a concurrent engineering system for powder ceramic components. Int. Conf. Artif. Eng., Toulouse, France, July.Google Scholar
Werkman, K.J., & Barone, M. (1991). Evaluating alternative connection designs through multiagent negotiation. In Computer Aided Cooperative Product Development, (Sriram, D., Logcher, R., and Fukuda, S., Eds.) pp. 298–333. Lecture Notes Series, No. 492, Springer Verlag, New York.Google Scholar