This book argues that complexity theory offers new departures for (spatial-) economic modelling. It offers a broad overview of recent advances in non-linear dynamics (catastrophe theory, chaos theory, evolutionary theory and so forth) and illustrates the relevance of this new paradigm on the basis of several illustrations in the area of space-economy. The empirical limitations - inherent in the use of non-linear dynamic systems approaches - are also addressed. Next, the application potential of biocomputing (in particular, neural networks and evolutionary algorithms) is stressed, while various empirical model results are presented. The book concludes with an agenda for further research.
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...This book offers a broad overview of recent advances in non-linear dynamics (catastrophe theory, chaos theory, evolutionary theory and so forth) and illustrates the relevance of this new paradigm on the basis of several illustrations in the area of space-economy. Zentralblatt fur Mathematik, Vol. 991, 2002
This text argues that complexity theory offers new departures for (spatial-)economic modelling. It offers a broad overview of recent advances in non-linear dynamics and illustrates the relevance of this paradigm on the basis of several illustrations in the area of space-economy.
"About this title" may belong to another edition of this title.
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