This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections.
This book examines life not from the reductionist point of view, but rather asks the questions: what are the universal properties of living systems, and how can one construct from there a phenomenological theory of life that leads naturally ...
Complex systems are everywhere.
Carlson, J.M. and J. Doyle. 2002. Complexity and robustness. PNAS.99(suppl. 1): 2538–2545. Carson, E.R., C. Cobelli, and L. Finkelstein. 1983. The Mathematical Modeling of Metabolic and Endocrine Systems. John Wiley & Sons, New York.
Our intention is to draw together in this volume, we believe for the first time, a comprehensive picture of the manifold philosophically interesting impacts of recent developments in understanding nonlinear systems and the unique aspects of ...
A clear, concise introduction to the quickly growing field of complexity science that explains its conceptual and mathematical foundations What is a complex system?
... −C given in terms of the Euler constant, C, also called the Euler– Mascheroni constant: C = 0.5772156... (3.61) Kozachenko and Leonenko [166] then extend the estimator in Eqn. 3.58 in that the distances between sorted neighbouring ...
situation types or states nature explanation Puzzles Simple Direct choice options Appealing to the faculty of reasoning, knowing or Cerebral or Complex projects understanding Complex personal issues mechanistic Easy to understand, ...
This book provides an accessible introduction to complex systems viewed as networks of automata, using primarily examples drawn from the physics of disordered systems, neural networks, and the origins of life.
Additional Readings 835 A discussion of parallel-processing simulations is found in: [5.3] B. M. Boghosian, ... Chapter 6 keywords: evolution; evolution (biology); heredity; adaptation(biology); variation (biology); natural selection; ...
The book on complex systems, sustainability, and innovation explores a broad set of ideas and presents some of the state-of-the-art research in this field concisely in six chapters.