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Abstract

An experimental project in the area of artificial intelligence devoted to modeling the behaviour of a human operator in charge of controlling a complex plant component is presented in this paper. We claim that operators' behaviour and reasoning occur at three levels of cognition and depth. Namely, 1) In emergency situations, when the behaviour mostly relies on remaining <problem + solution> patterns compiled from previous experience or acquired through training. 2) In operational situations when the operator can resort to an empirical reasoning activity, based either on shallow (situation + action) associations or on simple mental models of the task at hand. 3) Off-line of real plant operation, or during normal situations where there is no need for quick intervention, the operator develops deep reasoning based on complex structural models of system behaviour.

Additional information

Authors: CACCIABUE P C, JRC ISPRA ESTAB. (ITALY);POLITECNICO DI MILANO (ITALY);GUIDA G, JRC ISPRA ESTAB. (ITALY);POLITECNICO DI MILANO (ITALY);PACE A JRC ISPRA ESTAB. (ITALY), JRC ISPRA ESTAB. (ITALY);POLITECNICO DI MILANO (ITALY);POLITECNICO DI MILANO (ITALY), JRC ISPRA ESTAB. (ITALY);POLITECNICO DI MILANO (ITALY)
Bibliographic Reference: ANS-ENS TOPICAL MEETING ON AI AND OTHER INNOVATIVE COMPUTER APPLICATIONS IN THE NUCLEAR INDUSTRY, SNOWBIRD, UTAH (USA), AUG. 31-SEPT.2, 1987 WRITE TO CEC LUXEMBOURG, DG XIII/A2, POB 1907 MENTIONING PAPER E 33484 ORA
Availability: Can be ordered online
Record Number: 1989126024401 / Last updated on: 1989-01-01
Category: PUBLICATION
Available languages: en