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USING ARTIFICIAL INTELLIGENCE TECHNIQUES TO ENHANCE THE CAPABILITIES OF MODEL MANAGEMENT SYSTEMS
Author(s) -
Elam Joyce J.,
Konsynski Benn
Publication year - 1987
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1987.tb01537.x
Subject(s) - implementation , computer science , decision support system , software implementation , field (mathematics) , software , management science , software engineering , systems engineering , artificial intelligence , engineering , mathematics , pure mathematics , programming language
Decision Support Systems (DSSs) originally were proposed as interactive problem‐solving vehicles through which models and analytical techniques could be made available to decision makers. Model management represents a line of research within the DSS field that focuses on the design and implementation of software environments to support the use of DSSs for this purpose. This paper describes the tasks that must be supported within these environments and illustrates how existing prototype Model Management Systems (MMSs) implementations provide this support. The use of artificial intelligence techniques in such implementations are reveiwed, and three scenarios are presented to show how future MMSs could be constructed using these techniques.