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Norm: an expert system for development control in underdeveloped operational contexts

Listed author(s):
  • D Borri
  • E Conte
  • F Pace
  • F Selicato
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    The paper deals with the attempt to build a legal planner expert system, NORM, for the building-application inspection branch of a local city planning agency, within an ill-organized administrative structure. The authors report the first stage of the research, mainly concerned with knowledge acquisition (by means of a method of shared observation, which directly focuses on the expert's real problem-solving behavior), knowledge representation, and implementation of a rough prototype. The first results of the research have shown that heuristics have a strong role in the human expert's cognitive-inferential model, human experts resorting to memory packages, stories, and analogies to streamline their problem-solving, and that many reasoning schemes in the procedure are largely unmanageable by expert systems. Another interesting finding has been the need which emerged from the research for a better understanding of problem-solving routines in the field of planning, ranging from taxonomies to behavioral (especially community-based) patterns m planning.

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    Article provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.

    Volume (Year): 21 (1994)
    Issue (Month): 1 (January)
    Pages: 35-52

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    Handle: RePEc:pio:envirb:v:21:y:1994:i:1:p:35-52
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