Titlebook: Econometric Decision Models; Proceedings of a Con Josef Gruber Conference proceedings 1983 Springer-Verlag Berlin Heidelberg 1983 Entscheid

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https://doi.org/10.1007/978-3-030-42726-9ions of each type of model could be eased or offset, it would appear that a benefit would be realized in terms of opening up new areas of investigative research. A Recursive Adaptive Hybrid (RAH) model is formulated to integrate information on the spatial pattern of supply, resource use, and technic

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Artificial Intelligence Technologyvalues, the time paths of the latter have to be given. In reality the policy decision makers often revise their policy targets according to the evident success (or failure) of their policies although they do not alter their preferences. Therefore there is the need of an adjustment of the target valu

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Expert Systems (probabilistic search), more robustness can be obtained by using quadratic preference functions together with the optimal values of the variables, provided by the parties themselves. The crucial technique is that of mixed regression, see Theil — Goldberger (1961).

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The Valuation of Artificial Intelligence, model), assumptions about future noncontrollable events (an information set), and the treatment of uncertainty (a risk aversion measure)..This paper examines the specification and analysis of the first component, - in the form of a collective preference function. We take an axiomatic approach and s

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The Validation of AI Techniques,on techniques MCDM (.ultiple .riteria .ecision .aking) procedures do not need an explicitly specified scalar-valued preference function. In an interactive algorithm the decision maker communicates with the computer. Pieces of information about his local preferences are supplied by the decision maker

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0075-8442 Overview: 978-3-540-11554-0978-3-642-46464-5Series ISSN 0075-8442 Series E-ISSN 2196-9957

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