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  1. How Nature Works: The Science of Self-Organized Criticality.Per Bak - 1996 - Copernicus.
    Self-organized criticality, the spontaneous development of systems to a critical state, is the first general theory of complex systems with a firm mathematical basis. This theory describes how many seemingly desperate aspects of the world, from stock market crashes to mass extinctions, avalanches to solar flares, all share a set of simple, easily described properties. "...a'must read'...Bak writes with such ease and lucidity, and his ideas are so intriguing...essential reading for those interested in complex systems...it will reward a sufficiently skeptical (...)
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  • Generative Social Science: Studies in Agent-Based Computational Modeling.Joshua M. Epstein - 2006 - Princeton University Press.
    This book argues that this powerful technique permits the social sciences to meet an explanation, in which one 'grows' the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors.
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  • Complexity: a guided tour.Melanie Mitchell - 2009 - New York: Oxford University Press.
    What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems (...)
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  • (2 other versions)Weak emergence.Mark A. Bedau - 1997 - Philosophical Perspectives 11:375-399.
    An innocent form of emergence—what I call "weak emergence"—is now a commonplace in a thriving interdisciplinary nexus of scientific activity—sometimes called the "sciences of complexity"—that include connectionist modelling, non-linear dynamics (popularly known as "chaos" theory), and artificial life.1 After defining it, illustrating it in two contexts, and reviewing the available evidence, I conclude that the scientific and philosophical prospects for weak emergence are bright.
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  • A New Kind of Science.Stephen Wolfram - 2002 - Bulletin of Symbolic Logic 10 (1):112-114.
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  • (2 other versions)Weak Emergence.Mark A. Bedau - 1997 - Noûs 31 (S11):375-399.
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  • Phase Transitions.Ricard V. Solé - 2011 - Princeton University Press.
    Written at an undergraduate mathematical level, this book provides the essential theoretical tools and foundations required to develop basic models to explain collective phase transitions for a wide variety of ecosystems.
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  • A New Kind of Science.Stephen Wolfram - 2002 - Wolfram Media.
    NOW IN PAPERBACK"€"Starting from a collection of simple computer experiments"€"illustrated in the book by striking computer graphics"€"Stephen Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
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  • The Evolution of Cooperation.Robert M. Axelrod - 1984 - Basic Books.
    The 'Evolution of Cooperation' addresses a simple yet age-old question; If living things evolve through competition, how can cooperation ever emerge? Despite the abundant evidence of cooperation all around us, there existed no purely naturalistic answer to this question until 1979, when Robert Axelrod famously ran a computer tournament featuring a standard game-theory exercise called The Prisoner's Dilemma. To everyone's surprise, the program that won the tournament, named Tit for Tat, was not only the simplest but the most "cooperative" entrant. (...)
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  • Deliberative democracy and public discourse: The agent‐based argument repertoire model.Ian S. Lustick & Dan Miodownik - 2000 - Complexity 5 (4):13-30.
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  • System Effects: Complexity in Political and Social Life.Robert Jervis - 1997
    Based on more than three decades of observation, Robert Jervis concludes in this provocative book that the very foundations of many social science theories--especially those in political science--are faulty. Taking insights from complexity theory as his point of departure, the author observes that we live in a world where things are interconnected, where unintended consequences of our actions are unavoidable and unpredictable, and where the total effect of behavior is not equal to the sum of individual actions. Jervis draws on (...)
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  • The potential value of computational models in social science research.Ken Kollman - 2012 - In Harold Kincaid (ed.), The Oxford Handbook of Philosophy of Social Science. Oxford University Press. pp. 355.
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