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From Instability to Intelligence [electronic resource] : Complexity and Predictability in Nonlinear Dynamics / by Michail Zak, Joseph P. Zbilut, Ronald E. Meyers.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Physics Monographs ; 49Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997Description: XIV, 552 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540691211
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621 23
LOC classification:
  • QC174.7-175.36
Online resources:
Contents:
Predictability in Classical Dynamics -- Open Problems in Dynamical Systems -- Instability in Dynamics -- Stabilization Principle -- Terminal (Non-Lipschitz) Dynamics in Biology and Physics -- Biological Randomness and Non-Lipschitz Dynamics -- Terminal Model of Newtonian Dynamics -- Terminal Neurodynamics -- Physical Models of Cognition -- Terminal Dynamics Approach to Discrete Event Systems -- Modeling Heartbeats Using Terminal Dynamics -- Irreversibility in Thermodynamics -- Terminal Dynamics Effects in Viscous Flows -- Quantum Intelligence -- Turbulence and Quantum Fields Computations -- Epilogue.
In: Springer eBooksSummary: This book deals with predictability and dynamical concepts in biology and physics. The main emphasis is on intrinsic stochasticity caused by the instability of dynamical equations. In particular, the authors present for the first time in book form their concept of terminal dynamics. They demonstrate that instability as an attribute of dynamical models can explain the paradox of irreversibility in thermodynamics, the phenomenon of chaos and turbulence in classical mechanics, and non-deterministic (multi-choice) behavior in biological and social systems. The first part of the book describes the basic properties of instability as an attribute of dynamical models and how their analysis is dependent upon frames of reference. The second part describes these instabilities and their usefullness in physics, biology, neural nets, creativity, intelligence, and social behavior (the "collective brain"). The book addresses researchers as well as students; it should also be of interest to philosophers of science.
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Predictability in Classical Dynamics -- Open Problems in Dynamical Systems -- Instability in Dynamics -- Stabilization Principle -- Terminal (Non-Lipschitz) Dynamics in Biology and Physics -- Biological Randomness and Non-Lipschitz Dynamics -- Terminal Model of Newtonian Dynamics -- Terminal Neurodynamics -- Physical Models of Cognition -- Terminal Dynamics Approach to Discrete Event Systems -- Modeling Heartbeats Using Terminal Dynamics -- Irreversibility in Thermodynamics -- Terminal Dynamics Effects in Viscous Flows -- Quantum Intelligence -- Turbulence and Quantum Fields Computations -- Epilogue.

This book deals with predictability and dynamical concepts in biology and physics. The main emphasis is on intrinsic stochasticity caused by the instability of dynamical equations. In particular, the authors present for the first time in book form their concept of terminal dynamics. They demonstrate that instability as an attribute of dynamical models can explain the paradox of irreversibility in thermodynamics, the phenomenon of chaos and turbulence in classical mechanics, and non-deterministic (multi-choice) behavior in biological and social systems. The first part of the book describes the basic properties of instability as an attribute of dynamical models and how their analysis is dependent upon frames of reference. The second part describes these instabilities and their usefullness in physics, biology, neural nets, creativity, intelligence, and social behavior (the "collective brain"). The book addresses researchers as well as students; it should also be of interest to philosophers of science.

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