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Titlebook: Interaction, Evolution and Chaos in Space; Peter Nijkamp,Aura Reggiani Book 1992 Springer-Verlag Berlin · Heidelberg 1992 (Dis-)Equilibriu

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be replaced by programs called genetic algorithms, which employ Darwinian principles of evolution literally to breed better designs within the computer. These changes are radically improving the profitability of the companies that embrace them. Not only do they reduce costs, but – and in most cases,
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Spatial Interaction Models and Chaos Theoryl specifications compatible with plausible economic-spatial hypotheses) and of testability of model results (notably, are model results qualitatively or quantitatively justifiable from possible nonlinear patterns in the underlying data set).
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Book 1992idity in different disciplines. The building of such analytical frameworks bridging the gaps between scientific traditions is a very ambitious task and has not been very successful up till now. In the past - in a static context - several such principles have been defined and advocated at the edge of
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Entropy Theory and Spatial Interaction Analysisf the entropy concept will be described. This framework will be extended, in Chapter 3, to a utility interpretation offered by optimization models. Next, Chapter 4 will be devoted to a further exploration of the relationships between discrete choice models and spatial interaction analysis.
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Entropy Theory and Spatial Interaction Analysishistory of these models several attempts have been made to offer a plausible description of behavioural backgrounds implicitly present in these models. Such behavioural notions appeared to be particularly interesting from a macro-systems viewpoint. Individual motives (or utility functions) played a
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Entropy and Generalized Cost Minimization Models at the Macro Levelhat the entropy concept was compatible with a behavioural interpretation of spatial interaction. In the present chapter an attempt will be made to start off from the entropy philosophy itself and to find a behavioural rationale for entropy maximisation as such.
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