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Peter Albin is known for his seminal work in applying the concepts of adaptive dynamical systems, first developed by biologists and physicists, to the study of economic systems. This book is a collection of his pathbreaking articles on the application of cellular automata and complexity theory to economic problems.

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Offers an introduction to critical transitions in complex systems - the radical changes that happen at tipping points when thresholds are passed. This title describes the dynamical systems theory behind critical transitions, covering catastrophe theory, bifurcations and chaos.

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The disappearance and formation of states and nations after the end of the Cold War have proved puzzling to both theorists and policymakers. This book argues that this lack of conceptual preparation stems from two tendencies in conventional theorizing.

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Taking up the problem of territorial dynamics - why some polities at certain times expand and at other times contract - this book shows that a similar research program can advance our understanding of dynamical processes in history. It investigates the dynamics predicted by the models, and contrasts model predictions with empirical patterns.

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Describes a series of fieldwork projects ranging from the archaeology of the water temples to their ecological functions and their place in Balinese cosmology. This book shows that the temple networks are fragile, vulnerable to the cross-currents produced by competition among male descent groups.

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Along rivers in Bali, small groups of farmers meet regularly in water temples to manage their irrigation systems. They have done so for a thousand years. Over the centuries, water temple networks have expanded to manage the ecology of rice terraces at the scale of whole watersheds. Although each group focuses on its own problems, a global solution

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Explores why genetic changes do not cause organisms to fail catastrophically and how evolution shapes organisms' robustness. This book looks at this problem, starting with the alphabet of DNA, the genetic code, RNA, and protein molecules, moving on to genetic networks and embryonic development, and working his way up to whole organisms.

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A primer on self-organization in biological systems for students and other enthusiasts, this book introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world.

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Uses the phenomenon called 'six degrees of separation' as a prelude to a more general exploration: under what conditions can a small world arise in any kind of network This book is intended for a variety of fields, including physics and mathematics, as well as sociology, economics, and biology.

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Serves as an introductory text on complexity theory and computer modeling in the social sciences and as an overview of the state of the art in the field. The articles study a set of issues, including how to cope with errors in perception or implementation, how norms emerge, and how new political actors and regions of shared culture can develop.

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Scientists from various fields - including mathematics, physics, computer science, sociology, and biology - have been pursuing questions on networks and building a 'science of networks.' This book brings together a set of articles representing research from across these disciplines. It is suitable for research on various types of networks.

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Provides an account of complex adaptive social systems, by two of the field's leading authorities. This work focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It also demonstrates how the usual extremes used in modeling can be fruitfully transcended.

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Introduces a theoretical entity: Agent_Zero. This title weaves a computational tapestry with threads from Plato, Hume, Darwin, Pavlov, Smith, Tolstoy, Marx, James, and Dostoevsky, among others.

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Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes. This title offers a comprehensive treatment of party competition using the computational techniques of agent-based modeling. It shows how agent-based modeling can be used to reflect how political systems really work.

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