Theoretical Issues on Systems Science
- ISBN 978-3-7258-4470-8 (Hardback)
- ISBN 978-3-7258-4469-2 (PDF)
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This is a Reprint of the Special Issue Theoretical Issues on Systems Science that was published in
In “Theoretical Issues on Systems Science”, we present theoretical issues including theoretical incompleteness, multiplicity, systems as networks and chaos, game theory, and meta-structures. Other less explored research topics include equivalence and tolerance in systems, pending systems, recurrence and self-reflexivity, remote synchronization, and the significance of using complex numbers in system models.
The first group of papers addresses theoretical aspects, including 1) the role of noise in complex systems; 2) the potential of general systems theory to serve as a theory of everything; 3) the drawbacks of applying classical axiomatic deductive mathematical approaches to topics such as control evolution by rewriting DNA “instructions”; 4) the near non-existence of purely "theory-free" approaches and the balance between theoretical and empirical contributions; 5) the neglect in reductionism in that systems acquire properties and the assumption that multiple, variable interactions of complexity can be analytically “zipped”; and 6) tree-based methods for statistical learning, for which the author presents a systems theory-based framework to speed up discrete event system stochastic simulations.
The second group of papers examines theoretical aspects within specific fields, including 1) human dynamics; 2) human cognition; 3) complex physiological processes; 4) medicine; 5) chemical organization theory; and 6) psychotherapy.