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  1. The tree of knowledge:The biological roots of human understanding.Humberto R. Maturana & Francisco J. Varela - 1992 - Cognition.
    "Knowing how we know" is the subject of this book. Its authors present a new view of cognition that has important social and ethical implications, for, they assert, the only world we humans can have is the one we create together through the actions of our coexistence. Written for a general audience as well as for students, scholars, and scientists and abundantly illustrated with examples from biology, linguistics, and new social and cultural phenomena, this revised edition includes a new afterword (...)
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  • The organic codes: an introduction to semantic biology.Marcello Barbieri - 2002 - New York: Cambridge University Press.
    The genetic code appeared on Earth with the first cells. The codes of cultural evolution arrived almost four billion years later. These are the only codes that are recognized by modern biology. In this book, however, Marcello Barbieri explains that there are many more organic codes in nature, and their appearance not only took place throughout the history of life but marked the major steps of that history. A code establishes a correspondence between two independent 'worlds', and the codemaker is (...)
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  • Microcognition.Dan Lloyd & Andy Clark - 1992 - Philosophical Review 101 (3):706.
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  • My Double Unveiled: The Dissipative Quantum Model of Brain.Giuseppe Vitiello - 2001 - John Benjamins.
    CHAPTER Structure and function In physical systems made by a large number of basic constituents one can observe collective properties which find their ...
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  • 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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  • (1 other version)On emergence and explanation.Nils Baas & Claus Emmeche - 1997 - Intellectica 2 (25):67-83.
    Emergence is a universal phenomenon that can be defined mathematically in a very general way. This is useful for the study of scientifically legitimate explanations of complex systems, here defined as hyperstructures. A requirement is that the observation mechanisms are considered within the general framework. Two notions of emergence are defined, and specific examples of these are discussed.
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  • Modelling emergence.Francis Heylighen - 1991 - World Futures 32 (2):151-166.
    Emergence is defined as a process which cannot be described by a fixed model, consisting of invariant distinctions. Hence emergence must be described by a meta‐model, representing the transition of one model to another one by means of a distinction dynamics. The dynamics of distinctions is based on the processes of variation and selection, resulting in an invariant distinction, which constrains the variety and thus defines a new system. A classification of emergence processes is proposed, based on the following criteria: (...)
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  • Connectionist, symbolic, and the brain.Paul Smolensky - 1987 - AI Review 1:95-109.
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  • Church's Thesis and Principles for Mechanisms.Robin Gandy - 1980 - In The Kleene Symposium. North-Holland. pp. 123--148.
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  • Adaptivity and emergence in organisms and devices.Peter Cariani - 1991 - World Futures 32 (2):111-132.
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