The authors want to point out in this paper how expert knowledge acquisition may induce the choice and the refinement on a software architecture for an expert system and how, in return, this architecture may provide a guide for knowledge acquisition. This idea will be discussed along two axes, through the example of the Rosy multi-ES, designed in the domain of urban road management. At the beginning, the authors show that the first meetings between the expert and his domain and them, the knowledge engineers, led them to choose a multi-expert, then a 'multi-level multi-expert' architecture for the system, and that this choice improved the phase of knowledge acquisition. Secondly, they stress the close cooperation between knowledge acquisition and modeling, on one side, and the system structure organization, on the other side, until the final state of the system. The authors have come to the design of a methodology including the concept of constructors for building expert systems and they think that this approach may be generalized to other systems concerned with a similar kind of expertise.


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    Title :

    Multi-level architecture and human mental activity: connections and feedback during expert system building


    Additional title:

    Mehrebenenarchitekturen und menschliche Gedankenaktivität: Verbindungen und Rückkopplung beim Aufbau von Expertensystemen


    Contributors:
    Ferraris, C. (author) / Haton, M.C. (author)

    Published in:

    Publication date :

    1992


    Size :

    16 Seiten, 6 Bilder, 7 Quellen


    Type of media :

    Report


    Type of material :

    Print


    Language :

    English




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