Cognitive environment simulation: An artificial intelligence system for human performance assessment: Cognitive reliability analysis technique: (Technical report, May 1986-June 1987)
This report documents the results of Phase II of a three phase research program to develop and validate improved methods to model the cognitive behavior of nuclear power plant (NPP) personnel. In Phase II a dynamic simulation capability for modeling how people form intentions to act in NPP emergency situations was developed based on techniques from artificial intelligence. This modeling tool, Cognitive Environment Simulation or CES, simulates the cognitive processes that determine situation assessment and intention formation. It can be used to investigate analytically what situations and factors lead to intention failures, what actions follow from intention failures (e.g., errors of omission, errors of commission, common mode errors), the ability to recover from errors or additional machine failures, and the effects of changes in the NPP person-machine system. The Cognitive Reliability Assessment Technique (or CREATE) was also developed in Phase II to specify how CES can be used to enhance the measurement of the human contribution to risk in probabilistic risk assessment (PRA) studies. 34 refs., 7 figs., 1 tab.
- Research Organization:
- Westinghouse Research and Development Center, Pittsburgh, PA (USA)
- OSTI ID:
- 5899954
- Report Number(s):
- NUREG/CR-4862-Vol.3; ON: TI88900193
- Country of Publication:
- United States
- Language:
- English
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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NUCLEAR POWER PLANTS
HUMAN FACTORS
REACTOR OPERATORS
COMPUTERIZED SIMULATION
PERFORMANCE
ARTIFICIAL INTELLIGENCE
MATHEMATICAL MODELS
PROBABILISTIC ESTIMATION
NUCLEAR FACILITIES
PERSONNEL
POWER PLANTS
SIMULATION
THERMAL POWER PLANTS
220400* - Nuclear Reactor Technology- Control Systems
990210 - Supercomputers- (1987-1989)