Titlebook: Knowledge, Data and Computer-Assisted Decisions; Martin Schader,Wolfgang Gaul Conference proceedings 1990 Springer-Verlag Berlin Heidelber

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Decision Making: A Computational Approachn and decide in an environment characterized by a lack of information, inconsistency and ambiguity. There is much (though not all) that decision-makers do in realistic situations that is sound and reasonable, in view of all the constraints to which they are subject. Our perspective draws upon resear

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Artificial Intelligence Methods in Data Analysis and Interpretationn. In this paper we discuss our experiences from the implementations of knowledge-based systems for time series analyses, in particular for eliminating seasonal variations in statistical studies of industry and trade, and for multivariate tabular analysis. We further discuss the problems of realizin

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Building an Expert Decision Support System: The Integration of Artificial Intelligence and Operationlogic programming languages, most notably on the domain of numerical expressions. The paper illustrates how constraint logic programming may be used in EDSS development by presenting a small classroom scheduling problem developed with CLP(R), and compares this approach to more traditional Operations Research techniques.

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Artificial Intelligence Methods in Data Analysis and Interpretationg seasonal variations in statistical studies of industry and trade, and for multivariate tabular analysis. We further discuss the problems of realizing knowledge-based systems in a production environment and present an integrated conceptual model for knowledge-based data analysis and interpretation.