Complexity And Dynamics

Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms.

This volume of the Encyclopedia of Complexity and Systems Science, Second Edition, provides an authoritative introduction and overview of the latest research in cellular automata (CA) models of physical systems, emergent phenomena, computational universality, chaos, growth phenomena, phase transitions, self-organised criticality, reaction-diffusion systems, self-replications, parallel computation, and more.

This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures. The author discusses a variety of methodologies and a decision-tree-type framework to determine why, when and how particular methodologies should be applied to ensure project success. These include nonlinear Monte Carlo techniques, a dynamic adaptive methodology to adapt to external environment changes, game theory for devising robust decision-making criteria, systems dynamics and cost escalation modelling, as well as risk-based & economic-based alternatives selection methodologies. This book will be an eye-opener for many PRM practitioners, helping to increase their chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications in specific contexts.

The proceedings of the 8th International Symposium on Chaos, Complexity, and Leadership present various concepts of diverse research methodologies to explore chaos and complexity across different scientific fields of leadership. Particular emphasis will be placed on investigating non-linearity to stimulate discussion on novel approaches and perspectives regarding chaos, complexity, and leadership.
The book delves into recent developments from diverse fields, employing chaos and complexity theory as analytical tools. Readers will find insights into important contemporary events, regardless of the various perspectives across social, political, economic, or scientific domains. It integrates numerous aspects and challenges regarding the impact of chaos and complexity on our world, utilizing nonlinear dynamics to suggest transformative policies. It aims to investigate and predict future paths through an interdisciplinary approach. Given the current societal and economic turbulence, leadership across all sectors necessitates reassessment. Consequently, this book primarily targets individuals interested in nonlinear science and leadership. However, its content extends its appeal to a broader audience due to its application of chaos and complexity to other disciplines.

Complexity and nonlinearity are prominent features in the evolution of matter, life, and human society. Even our mind seems to be governed by the nonlinear dynamics of the complex networks in our brain. This book considers complex systems in the physical and biological sciences, cognitive and computer sciences, social and economic sciences, and philosophy and history of science. An in­ terdisciplinary methodology is introduced to explain the emergence of order in nature and mind and in the econ­ omy and society by common principles.

by Yu Guo (Author), Albert C. J. Luo (Author)
The inherent complex dynamics of a parametrically excited pendulum is of great interest in nonlinear dynamics, which can help one better understand the complex world