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"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 describes a systematic approach to risk assessment for complex socio-technical systems like industrial processes, especially innovative ones. It provides an overview of applications of system dynamics theory and methodologies on industrial systems in order to demonstrate the relevance of such an approach in helping to assess risks in such complex systems.An important feature of this approach is that it takes into account the dynamic of the interactions of the components (technical, human and organizational ones) in order to study and simulate the behavior of the system. This methodology helps to define the failures and/or accident scenarios and to implement and test the prevention and protection barriers."

"How to sustain our world for future generations has perplexed us for centuries. We have reached a crossroads: we may choose the rocky path of responsibility or continue on the paved road of excess that promises hardship for our progeny. Independent efforts to resolve isolated issues are inadequate. Different from these efforts and from other books on the topic, this book uses systems thinking to understand the dominant forces that are shaping our hope for sustainability. It first describes a mental model, the bubble that holds our beliefs - that emerges from preponderant world views and explains current global trends. The model emphasizes economic growth and drives behavior toward short-term and self-motivated outcomes that thwart sustainability. The book then weaves statistical trends into a system diagram and shows how the economic, environmental, and societal contributors of sustainability interact. From this holistic perspective, it finds leverage points where actions can be most effective and combines eight areas of intervention into an integrated plan. By emphasizing both individual and collective actions, it addresses the conundrum of how to blend human nature with sustainability. Finally, it identifies primary three lessons we can learn by applying systems thinking to sustainability. Its metaphor-rich and accessible style makes the complex topic approachable and allows the reader to appreciate the intricate balance required to sustain life on earth."

"The thesis explores the interface between the underlying structure of a given population and the outcome of the cooperative dynamics taking place on top of it, (namely, the Prisoner's Dilemma Game). The first part of this work analyzes the case of a static system, where the pattern of connections is fixed, so it does not evolve over time. The second part develops two models for growing topologies, where the growth and the dynamics are entangled."

"This monograph presents selected new developments in such areas of dependability research as system modelling, tools and methodologies for system analysis, data security, secure system design and specific dependability aspects in specialized technical applications. Many practical cases illustrate the universal rule that complexity and multiplicity of system processes, their concurrency and their reliance on embedded intelligence (human and artificial) significantly impedes construction of strict mathematical models and calls for application of intelligent and soft computing methods."