QUALITATIVE MODELLING FOR REPRESENTING REASONING, LEARNING AND DECISION MAKING PROCESSES OF OPERATORS OF NUCLEAR POWER PLANTS
In this paper some of the techniques used for representing the reasoning, the learning and the decision making of operators are briefly reviewed. In particular: - the approaches based on fuzzy logic formalisms theory are discussed as methodologies for the simulation of the imprecise and uncertain understanding of the reality; the goal oriented hierarchical structures, the knowledge bases and inference engines techniques are shown to be well suited for representing the organised knowledge and the expertise of operators; - the qualitative modelling is proposed as the theoretical stand point for the representation of the operator reasoning about the physical processes occurring in the plant. These techniques contribute to the development of a model of the cognitive activities of the operator during normal and emergency situations, having as reference plant a PWR nuclear power plant.
Bibliographic Reference: INTERNATIONAL CONFERENCE ON MAN-MACHINE INTERFACE IN THE NUCLEAR INDUSTRY, TOKYO (JAPAN), FEB. 15-19, 1988 WRITE TO CEC LUXEMBOURG, DG XIII/A2, POB 1907 MENTIONING PAPER E 33569 ORA
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Record Number: 1989126024001 / Last updated on: 1989-01-01
Available languages: en