Abstract
This paper presents the multi-agent architecture of the expert system module included in the acquisition system Amon-Re dedicated to an application in egyptology. The main point of our approach is that this architecture has to support the evolution of the module. Indeed, the architecture is built so that the whole agent society configuration doesn't have to change when the module is evolving. Therefore, the architecture is based on data structuring and fits a natural decomposition of domain objects. Another characteristic of our architecture is dynamism. Dynamic aspect appears through the variation of the number of agents during the solving process. The agents are responsible for the part of the solving process they are in charge of. In order to get the best result as possible, they exchange their views and constraints, are able to negotiate and self-evaluate.
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Bibliography
Berthet S., Demazeau Y., Boissier O., Knowing each other better, in Proc. of the 11th International workshop on Decentralized AI, Glen Arbor MI, Feb. 92
Billet-Coat S., Processus interactif d'acquisition de connaissances basé sur un apprentissage humain, Actes du 9∘ congrès Reconnaissance des formes et Intelligence Artificielle, Jan.94
Billet-Coat S., Interaction between a human teacher and an artificial learner, Proc. of the 3rd International Conference “Interface to real & virtual worlds”, Feb. 94
Brezillon P., Proc. of the IJCAI-93 Workshop on “Using Knowledge in its Context”, LAFORIA 93/13, April 93
Briot J.P., ACTALK: a testbed for classifying and designing actor languages in the Smalltalk-80 environment, Proc. ECOOP'89
Courdier R., Hérin-Aime D., Galéra R., An Object and Semantic Networks based Design Model and Methodology, Techniques et Sciences Informatiques vol.12 n∘3, 1993
Decker K., Lesser V., An approach to analyzingthe Need for Meta-Level Communication. Proc. of IJCAI'93 (vol.1), Chambery (France) 1993
Demazeau Y., J.P. Müller, Decentralized Artificial Intelligence, in Decentralized AI, Demazeau & Müller eds, North Holland / Elsevier, 1990
Demazeau Y., J.P. Müller, From reactive to intentional agents, in Decentralized AI, Demazeau & Müller eds, North Holland / Elsevier, 1991
Sabah G., CARAMEL: A Computational Model of Natural Language Understanding using Parallel Implementation. Proc. of ECAI'90, Stockholm Aug. 90
Stefanini M.H., TALISMAN: un système de traitement de la langue fondée sur une approche multi-agents. Research Report, CRISS, France Feb. 92
Shoham Y., Agent-Oriented Programming. Artificial Intelligence 60, 1993
Wielinga B.J., Schreiber A.T., Breuker J.A., KADS: a modelling approach to knowledge engineering, Knowledge Acquisition 4(1)
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© 1994 Springer-Verlag Berlin Heidelberg
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Billet-Coat, S., Hérin-Aime, D. (1994). A multi-agent architecture for an evolving expert system module. In: Karagiannis, D. (eds) Database and Expert Systems Applications. DEXA 1994. Lecture Notes in Computer Science, vol 856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58435-8_224
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DOI: https://doi.org/10.1007/3-540-58435-8_224
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