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  1.  21
    Melanie Mitchell (2009). Complexity: A Guided Tour. 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 <span class='Hi'>complexity</span> seeks to answer. In this remarkably accessible and companionable book, leading complex (...)
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  2.  22
    Melanie Mitchell (1999). Can Evolution Explain How the Mind Works? A Review of the Evolutionary Psychology Debates. Complexity 4 (3):17-24.
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  3.  8
    Melanie Mitchell (1995). Genetic Algorithms: An Overview. Complexity 1 (1):31-39.
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  4.  9
    Melanie Mitchell (1998). Theories of Structure Versus Theories of Change. Behavioral and Brain Sciences 21 (5):645-646.
    The dynamics/computation debate recalls a similar debate in the evolutionary biology community concerning the relative primacy of theories of structure versus theories of change. A full account of cognition will require a rapprochement between such theories and will include both computational and dynamical notions. The key to making computation relevant to cognition is not making it analog, but rather understanding how functional information-processing structures can emerge in complex dynamical systems.
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  5.  5
    Melanie Mitchell (1996). Darwin's Dangerous Idea. Complexity 2 (1):32-36.
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  6. Lashon Booker, Stephanie Forrest, Melanie Mitchell & Rick Riolo (eds.) (2004). Perspectives on Adaptation in Natural and Artificial Systems: Proceedings Volume in the Santa Fe Institute Studies. Oxford University Press Usa.
    This book is a collection of essays exploring adaptive systems from many perspectives, ranging from computational applications to models of adaptation in living and social systems. The essays on computation discuss history, theory, applications, and possible threats of adaptive and evolving computations systems. The modeling chapters cover topics such as evolution in microbial populations, the evolution of cooperation, and how ideas about evolution relate to economics. The title Perspectives on Adaptation in Natural and Artificial Systems honors John Holland, whose 1975 (...)
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