COGNITIVE MODELLING - A BASIC COMPLEMENT OF HUMAN RELIABILITY ANALYSIS
In this paper the issues identified in modelling humans and machines are discussed in the perspective of the consideration of human errors in management of complex plants during incidental as well as normal conditions. The dichotomy between the use of a cognitive versus a behaviouristic model approach is discussed and the complementarity aspects rather than the differences of the two methods are identified. A cognitive model, based on a hierarchical goaloriented approach and driven by fuzzy logic methodology, is presented as the counterpart to the "classical" THERP methodology for studying human errors. Such cognitive model is discussed at length and its fundamental components, i.e. the High Level Decision Making and the Low Level Decision Making models, are reviewed. Finally the inadequacy of the "classical" THERP methodology to deal with cognitive errors is discussed on the basis of a simple test case. For the same case the cognitive model is then applied showing the flexibility and adequacy of the model to dynamic configuration with time dependent failures of components and with subsequent need for changing of strategy during the transient itself.
Bibliographic Reference: 9TH SMIRT POST-CONFERENCE SEMINAR ON ACCIDENT SEQUENCE MODELLING: HUMAN ACTIONS, SYSTEM RESPONSE, INTELLIGENT DECISION SUPPORT, MUENCHEN (GERMANY), AUG. 24-25, 1987 WRITE TO CEC LUXEMBOURG, DG XIII/A2, POB 1907 MENTIONING PAPER E 33543 ORA
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Record Number: 1989126003600 / Last updated on: 1988-02-01
Available languages: en