DocumentCode :
1624633
Title :
A primitives-based approach to knowledge acquisition
Author :
Chien, Chih-Cheng ; Ho, Cheng-Seen
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
fYear :
1992
Firstpage :
1718
Abstract :
GAS, a primitives-based generic knowledge acquisition shell which allows users to easily construct and then execute a domain-specific knowledge acquisition tool for specific problem domains, is described. It contains problem solving primitives, acquisition primitives, interaction primitives, representation schemas, learning primitives, and knowledge processing primitives in order to construct specific knowledge acquisition tools efficiently. This approach relieves knowledge engineers from selecting and applying different knowledge acquisition tools for different domains. GAS has been developed as an open architecture so that further enhancement can be done easily
Keywords :
knowledge acquisition; knowledge representation; learning (artificial intelligence); problem solving; GAS; acquisition primitives; generic knowledge acquisition; interaction primitives; knowledge processing primitives; learning primitives; open architecture; problem solving primitives; representation schemas; Expert systems; Knowledge acquisition; Knowledge engineering; Knowledge representation; Laboratories; Machine learning; Problem-solving; Prototypes; Psychology; Road transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
Type :
conf
DOI :
10.1109/ICSMC.1992.271548
Filename :
271548
Link To Document :
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