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Progress in Theoretical Biology

Volume 6

  • 1st Edition - January 1, 1981
  • Latest edition
  • Editor: Robert J. Rosen
  • Language: English

Progress in Theoretical Biology, Volume 6 covers the theoretical analysis of biological phenomena. The book discusses the potentials in chemical systems far from thermodynamic… Read more

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Description

Progress in Theoretical Biology, Volume 6 covers the theoretical analysis of biological phenomena. The book discusses the potentials in chemical systems far from thermodynamic equilibrium, particularly the reduction of reaction-diffusion systems to catastrophe theory; and a form of logic suited for biology. The text describes the order-disorder transitions in polyelectrolytes and the chaos in systems in population biology. An artificial cognitive-plus-motivational system and pattern generation in networks are also encompassed. Biophysicists and physiologists will find the book invaluable.

Table of contents


Contributors

Preface

Contents of Previous Volumes

Potentials in Chemical Systems Far from Thermodynamic Equilibrium: The Reduction of Reaction-Diffusion Systems to Catastrophe Theory

I. Introduction

II. The Existence Problem

III. The Stability Problem

IV. The Biological, Chemical, and Mathematical Significance of the Results

V. A Chemical Example

References

A Form of Logic Suited for Biology

I. Introduction: Biology versus Physics

II. The Structuralist Method

III. Finiteness. Individuality

IV. Finite Classes and Selection

V. The Stability of Information

VI. Selected Patterns

References

Order-Disorder Transitions in Poly electrolytes

I. Introduction

II. The Ising Model

III. Fluctuation Theory

IV. A Boltzmann Equation for Nonequilibrium States

V. Complex Fugacity

VI. Partition Functions for Cooperative Processes in Nonequilibrium States

VII. Conclusion

References

Note Added in Proof

Chaos in Systems in Population Biology

I. Introduction

II. Time Delays

III. Age-Class and Many-Species Models

IV. Examples from Genetics

V. Continuous Models

VI. Imposed Oscillations

VII. Chaos as Noise

VIII. Sharkovski's Theorem

IX. Discrete-Valued Densities

References

An Artificial Cognitive-plus-Motivational System

I. Introduction

II. Artificial Motivation

III. Artificial Cognition

IV. The Combined System

V. Some Open Problems

VI. Summary

References

Pattern Generation in Networks

I. Introduction

II. Networks

III. Examples of Networks

IV. Networks as Morphogenetic Models

References

Index


Product details

  • Edition: 1
  • Latest edition
  • Published: January 1, 1981
  • Language: English

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