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Titlebook: Nonlinear Evolution of Spatial Economic Systems; Peter Nijkamp,Aura Reggiani Book 1993 Springer-Verlag Berlin · Heidelberg 1993 Chaos Theo

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书目名称Nonlinear Evolution of Spatial Economic Systems
编辑Peter Nijkamp,Aura Reggiani
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图书封面Titlebook: Nonlinear Evolution of Spatial Economic Systems; Peter Nijkamp,Aura Reggiani Book 1993 Springer-Verlag Berlin · Heidelberg 1993 Chaos Theo
描述Is our world more dynamic than it used to be in the past? Have phenomena in the social science field become unpredictable? Are chaotic events nowadays occurring more frequently than in the past? Such questions are often raised in popular debates on nonlinear evolution and self-organizing systems. At the same time, many scientists are also raising various intruiging methodological issues. Is it possible to separate deterministic chaos from random disturbances if their trajectories are (almost) similar? Is prediction still possible in a world of chaos (Poincare)? Is it possible to distinguish specification errors from measurement errors in a nonlinear dynamic model? Is evolution a random process? The list of such questions can easily be extended with dozens of others. But despite the myriad of questions on problems of nonlinear evolution, one common trait is evident: in both the natural and the social sciences we are still groping in the dark in areas which are par excellence promising hunting grounds for exploratory and exploratory research, viz. structural grounds in an uncertain nonlinear world. The present book aims at offering a collection of refreshing contributions to the abov
出版日期Book 1993
关键词Chaos Theorie; Chaos Theory; Evolutionary Theory; Evolutionstheorie; Nichtlineare Dynamik; Spatial Econom
版次1
doihttps://doi.org/10.1007/978-3-642-78463-7
isbn_softcover978-3-642-78465-1
isbn_ebook978-3-642-78463-7
copyrightSpringer-Verlag Berlin · Heidelberg 1993
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Book 1993 occurring more frequently than in the past? Such questions are often raised in popular debates on nonlinear evolution and self-organizing systems. At the same time, many scientists are also raising various intruiging methodological issues. Is it possible to separate deterministic chaos from random
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Nonlinear Evolution of Socioeconomic and Spatial Systemse of improving our understanding and our design of structural (e.g. ‘nested’) principles of socioeconomic life such as (non)-equilibrium, (non)-predictability, (un)certainty, adaptiveness and complexity.
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Lessons from Nonlinear Dynamic Economicsc behaviour. Non-periodic evolution for instance, can normally not be described by our analytical apparatus, unless stochastic processes describing nonlinear transition processes are assumed (see Brock, 1986, Priestley, 1988, and Schuster, 1984).
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Dynamical Basis of Large Deviations and Power Laws in Complex Systemsrized by new, . absent at the level of the constituting elements (Nicolis, 1989). The need to devise methods for tackling these phenomena has led to the development of Nonlinear Science, which constitutes currently one of the most active and rapidly growing fields of research (Guckenheimer and Holmes, 1983).
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