DocumentCode :
485991
Title :
The modeling of human cognitive decision processes in the intelligent machine model (TIMMTM)
Author :
Parker, Richard Elias ; Kiselewich, Stephen J.
Author_Institution :
Artificial Intelligence Laboratory, General Research Corporation, P. O. Box 6770, Santa Barbara, California 93160-6770
fYear :
1984
fDate :
6-8 June 1984
Firstpage :
1
Lastpage :
5
Abstract :
The Intelligent Machine Model (TIMMTM) is a software package that enables a user to build an "expert system"--that is, a system which is capable of providing expert advice in some well-defined domain of expertise. To accomplish this, (TIMMTM) attempts to represent some of the analog character of the real world domain, in addition to a standard rule base. This extra information defines a metric over the rule base. This metric allows (TIMMTM) to model some distinctly human capabilities. (TIMMTM) is able to reach decisions for new, uncertain, and incompletely defined situations. (TIMMTM) is able to examine its own rule base and suggest new rules that seem appropriate for the domain. These are important capabilities for real world expert systems.
Keywords :
Analog memory; Artificial intelligence; Cognitive science; Expert systems; Humans; Information processing; Intelligent systems; Laboratories; Machine intelligence; Software packages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1984
Conference_Location :
San Diego, CA, USA
Type :
conf
Filename :
4788345
Link To Document :
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