Article ID Journal Published Year Pages File Type
9664076 European Journal of Operational Research 2005 11 Pages PDF
Abstract
This paper assumes, in particular, that decision-makers have varying requirements on the temporal dimension of the information. It also focuses on the model-base component of the DSS. Its underlying objective is automated model creation such that the model produced by the system is responsive to the distinct information needs of the user. I take a single, structural, dynamic model as a starting point, and develop a theoretical basis for the extension of a set of time scale-based abstractions of this model. The abstraction techniques, known as exogenization and equilibration, were originally proposed in qualitative reasoning (QR) research in artificial intelligence. I generalize the equilibration technique, and suggest a new time scale-based abstraction termed quasi-exogenization.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
Authors
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