Published 2000
| Version v1
Book
Bayesian network modeling of operator's state recognition process
Description
Nowadays we are facing a difficult problem of establishing a good relation between humans and machines. To solve this problem, we suppose that machine system need to have a model of human behavior. In this study we model the state cognition process of a PWR plant operator as an example. We use a Bayesian network as an inference engine. We incorporate the knowledge hierarchy in the Bayesian network and confirm its validity using the example of PWR plant operator. (author)
Additional details
Publishing Information
- Publisher
- Universal Academy
- Imprint Place
- Tokyo (Japan)
- ISBN
- 4-946443-64-9
- Imprint Title
- PSAM 5: Probabilistic safety assessment and management
- Imprint Pagination
- 2820 p.
- Journal Page Range
- p. 53-58
Conference
- Title
- 5. international conference on probabilistic safety assessment and management
- Acronym
- PSAM 5
- Dates
- 27 Nov - 1 Dec 2000
- Place
- Osaka (Japan)
INIS
- Country of Publication
- Japan
- Country of Input or Organization
- Japan
- INIS RN
- 32056372
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- HUMAN FACTORS; MAN-MACHINE SYSTEMS; NETWORK ANALYSIS; PWR TYPE REACTORS; REACTOR OPERATORS; SIMULATION; STEAM GENERATORS; SYSTEM FAILURE ANALYSIS; TUBES
- Descriptors DEC
- BOILERS; ENRICHED URANIUM REACTORS; PERSONNEL; POWER REACTORS; REACTORS; SYSTEMS ANALYSIS; THERMAL REACTORS; VAPOR GENERATORS; WATER COOLED REACTORS; WATER MODERATED REACTORS
Optional Information
- Notes
- Vol. 1/4 Imprint:Published in 4 volumes, also available on CD-ROM can be used for Windows 95/98/2000, Macintosh and UNIX. Also published in Frontiers Science Series No.34, ISSN 0915-8502