Abstract
“Evolution, or order of process, is more than just a paradigm for the biological domain, it is a view of how a totality that hangs together in all of its interactive processes moves” (Jantsch, 1976, p. 9). The evolutionary paradigm is recently coming to the fore in modern economic and social sciences as a reaction against conventional theories aiming to reduce many complex phenomena to an equilibrium projection, system predictability and hierarchical control. In this context, the present volume aims to offer new insights into evolving complex socioeconomic modelling approaches by bringing together various advances and recent methodologies — emerging from different disciplines but applicable to dynamical spatial economics — which seem capable 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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Nijkamp, P., Reggiani, A. (1993). Nonlinear Evolution of Socioeconomic and Spatial Systems. In: Nijkamp, P., Reggiani, A. (eds) Nonlinear Evolution of Spatial Economic Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78463-7_1
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