Abstract
In this paper, several methodologies for designing synthesis strategies in distributed expert systems are investigated. They are analytic methods, inductive methods, and analogical methods. Firstly, synthesis problems are formally described. Secondly, the measurements for synthesis strategies are formally defined. After that, all methodologies are analyzed thoroughly and corresponding examples are introduced. Furthermore, all methodologies are compared and we conclude that they compensate each other.
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References
R. Duda, P. Hart and N. Nilsson (1976). Subjective Bayesian Method for Rulebased Inference System, AFIPS, Vol. 45, pp. 1075–1082.
E. Durfee, V. Lesser, and D. Corkill (1989). Trends in Cooperative Distributed Problem Solving, IEEE Transactions on Knowledge and Data Engineering, Vol. KDE-1, No. 1, pp. 63–83.
N. A. Khan and R. Jain (1985). Uncertainty Management in a Distributed Knowledge Based System, Proceedings of 9th International Joint Conference on Artificial Intelligence, California, pp. 318–320.
W. Van Melle (1980). A Domain-Independent System That Aids in Constructing Knowledge-Based Consultation Programs, Ph.D. Dissertation, Report STAN-CS80-820, Computer Science Department, Stanford University, CA.
G. Shafer (1976). A Mathematical Theory of Evidence, Princeton University Press, Princeton and London.
K. Sycara (1987). Planning for Negotiation: A Case-Based Approach, Proceedings of Darpa Knowledge-Based Planning Workshop, pp. 11.1–11.10.
C. Zhang (1992). Cooperation Under Uncertainty in Distributed Expert Systems. Artificial Intelligence, Vol. 56, pp. 21–69.
C. Zhang (1993). Heterogeneous Transformation of Uncertainties of Propositions among Inexact Reasoning Models, IEEE Transactions on Knowledge and Data Engineering, Vol. KDE-6, pp. 353–360.
M. Zhang and C. Zhang (1994a). A Comprehensive Strategy for Conflict Resolution in Distributed Expert Systems, Australia Journal of Intelligent Information Processing Systems, Vol. 1, No. 2, pp. 21–28.
10.M. Zhang and C. Zhang (1994b). Synthesis of Solutions in Distributed Expert Systems. Artificial Intelligence — Sowing the Seeds for the Future, edited by Chengqi Zhang, John Debenham and Dickson Lukose, World Scientific Publishers, Singapore, pp. 362–369.
M. Zhang and C. Zhang (1995a). A Dynamic Neural Network Mechanism for Solving Belief Conflict in Distributed Expert Systems, Proceedings of 6th Australian Conference on Neural Networks, Australia, pp. 105–108.
M. Zhang and C. Zhang (1995b). Synthesis Strategies in Non-conflict Cases in Distributed Expert Systems, AI'95, edited by X. Yao, World Scientific Publishers, Singapore, pp. 195–202.
M. Zhang and C. Zhang (1996). Neural Network Strategies for Solving Synthesis Problems in Non-conflict Cases in Distributed Expert Systems, Distributed Artificial Intelligence: Architecture and Modeling, LNAI Vol 1087, Lecture Notes in Artificial Intelligence, Springer Verlag Publishers, pp. 174–188.
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© 1997 Springer-Verlag Berlin Heidelberg
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Zhang, M., Zhang, C. (1997). Methodologies of solution synthesis in distributed expert systems. In: Zhang, C., Lukose, D. (eds) Multi-Agent Systems Methodologies and Applications. DAI 1996. Lecture Notes in Computer Science, vol 1286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030087
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DOI: https://doi.org/10.1007/BFb0030087
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