Self-Modifying Systems in Biology and Cognitive Science

A New Framework for Dynamics, Information and Complexity

G. Kampis

• Publisher: Pergamon
• Year: 2013
• Print ISBN:
  9780080369792
• eBook ISBN:
  9780080912394
• Topic: Mathematics
• Subtopic: Programming Algorithms
• Index: Mathematics

The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

Table of contents

• Front Cover
• Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity
• Copyright Page
• Table of Contents
• Foreword
• Preface
• CHAPTER 1. INTRODUCTION
• CHAPTER 2. A CONSTRUCTIVE APPROACH TO MODELS
• CHAPTER 3. FROM OBSERVATIONS TO A THEORY OF DYNAMICS
• CHAPTER 4.THE MECHANISTIC UNIVERSE
• CHAPTER 5.COMPONENT-SYSTEMS: BEYOND ALGORITHMIC DYNAMICS
• CHAPTER 6. COMPLEXITY AND ITS INCREASE IN SYSTEMS
• CHAPTER 7. SELF-REPRODUCTION AND COMPUTATION
• CHAPTER 8. THE CONCEPT OF INFORMATION
• CHAPTER 9. PERSPECTIVE
• REFERENCES
• INDEX
• AUTHORS INDEX