Knowledge acquisition issues encountered during the development of an estimating expert system
Artificial Intelligence, in particular expert systems methodologies, is being applied to the US Navy's automated data processing (ADP) project estimating tasks. Skilled Navy project leaders are nearing retirement and replacements may not possess the many years of experience required to make accurate estimating decisions of time, cost, equipment, and personnel needs. Knowledge acquisition has traditionally hindered the building of an expert system. A variety of information gathering techniques is discussed. Methods of interviewing, documenting, and verifying information are described. Project leaders were interviewed to capture their unique estimating expertise. Combining this information revealed fewer redundancies and contradictions than expected. The prototyping of the ADP-Estimator System is presented as part of the knowledge acquisition process.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 6002851
- Report Number(s):
- CONF-870841-3; ON: DE87013320
- Resource Relation:
- Conference: 2. international conference on human-computer interaction, Honolulu, HI, USA, 10 Aug 1987; Other Information: Portions of this document are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
EXPERT SYSTEMS
KNOWLEDGE BASE
PROGRAM MANAGEMENT
INFORMATION NEEDS
ARTIFICIAL INTELLIGENCE
AUTOMATION
COST ESTIMATION
DATA ACQUISITION
DATA PROCESSING
EQUIPMENT
PERSONNEL
PROGRAMMING
MANAGEMENT
PROCESSING
990300* - Information Handling
990210 - Supercomputers- (1987-1989)