Traditional modes of system representation as dynamical systems, involving fixed sets of states together with imposed dynamical laws, pertain only to a meagre subclass of natural systems. This reductionistic paradigm leaves no room for final causes; constrained thus are the simple systems. Members of their complementary collection, natural systems having mathematical models that are not dynamical systems, are the complex systems. Complex systems, containing hierarchical cycles in their entailment networks, can only be approximated and simulated, locally and temporarily, by simple ones. Anticipatory systems are, in this specific sense, complex, hence this introductory chapter on Complex Systems in the Handbook of Anticipation.

Complex Systems / Louie, A. H.; Poli, Roberto. - ELETTRONICO. - (2017), pp. 1-19. [10.1007/978-3-319-31737-3_3-1]

Complex Systems

Poli, Roberto
2017

Abstract

Traditional modes of system representation as dynamical systems, involving fixed sets of states together with imposed dynamical laws, pertain only to a meagre subclass of natural systems. This reductionistic paradigm leaves no room for final causes; constrained thus are the simple systems. Members of their complementary collection, natural systems having mathematical models that are not dynamical systems, are the complex systems. Complex systems, containing hierarchical cycles in their entailment networks, can only be approximated and simulated, locally and temporarily, by simple ones. Anticipatory systems are, in this specific sense, complex, hence this introductory chapter on Complex Systems in the Handbook of Anticipation.
Handbook of Anticipation
New York
Springer
978-3-319-31737-3
Louie, A. H.; Poli, Roberto
Complex Systems / Louie, A. H.; Poli, Roberto. - ELETTRONICO. - (2017), pp. 1-19. [10.1007/978-3-319-31737-3_3-1]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/179312
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