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How can we think the complex?

In [Book Chapter] (Unpublished) (2004)

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  1. Complexity and language contact: A socio-cognitive framework.Albert Bastardas-Boada - 2017 - In Salikoko S. Mufwene, François Pellegrino & Christophe Coupé (eds.), Complexity in language. Developmental and evolutionary perspectives. Cambridge University Press. pp. 218-243.
    Throughout most of the 20th century, analytical and reductionist approaches have dominated in biological, social, and humanistic sciences, including linguistics and communication. We generally believed we could account for fundamental phenomena in invoking basic elemental units. Although the amount of knowledge generated was certainly impressive, we have also seen limitations of this approach. Discovering the sound formants of human languages, for example, has allowed us to know vital aspects of the ‘material’ plane of verbal codes, but it tells us little (...)
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  • Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties.Leonardo Zapata-Fonseca, Dobromir Dotov, Ruben Fossion & Tom Froese - 2016 - Frontiers in Psychology 7.
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  • Two Purposes of Black Hole Production.Clément Vidal - 2012 - Foundations of Science 17 (1):13-15.
    Crane envisions the speculative conjecture that intelligent civilizations might want and be able to produce black holes in the very far future. He implicitly suggests two main purposes of this enterprise: (i) energy production and (ii) universe production. We discuss those two options. The commentary is obviously highly speculative and should be read accordingly.
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  • The Self-Organization of Time and Causality: Steps Towards Understanding the Ultimate Origin. [REVIEW]Francis Heylighen - 2010 - Foundations of Science 15 (4):345-356.
    Possibly the most fundamental scientific problem is the origin of time and causality. The inherent difficulty is that all scientific theories of origins and evolution consider the existence of time and causality as given. We tackle this problem by starting from the concept of self-organization, which is seen as the spontaneous emergence of order out of primordial chaos. Self-organization can be explained by the selective retention of invariant or consistent variations, implying a breaking of the initial symmetry exhibited by randomness. (...)
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  • Symmetry, Potentiality and Reversibility.Francis Heylighen - 2011 - Foundations of Science 16 (4):335-336.
    This short comment confirms Longo’s observation about the importance of symmetries for understanding space and time, but raises the additional issue of the transition from reversible to irreversible transformations.
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  • The Implications of Interactions for Science and Philosophy.Carlos Gershenson - 2013 - Foundations of Science 18 (4):781-790.
    Reductionism has dominated science and philosophy for centuries. Complexity has recently shown that interactions—which reductionism neglects—are relevant for understanding phenomena. When interactions are considered, reductionism becomes limited in several aspects. In this paper, I argue that interactions imply nonreductionism, non-materialism, non-predictability, non-Platonism, and non-Nihilism. As alternatives to each of these, holism, informism, adaptation, contextuality, and meaningfulness are put forward, respectively. A worldview that includes interactions not only describes better our world, but can help to solve many open scientific, philosophical, and (...)
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  • Does Species Evolution Follow Scale Laws? First Applications of the Scale Relativity Theory to Fossil and Living-beings.Jean Chaline - 2010 - Foundations of Science 15 (3):279-302.
    We have demonstrated, using the Cantor dust method, that the statistical distribution of appearance and disappearance of rodents species (Arvicolid rodent radiation in Europe) follows power laws strengthening the evidence for a fractal structure set. Self-similar laws have been used as model for the description of a huge number of biological systems. With Nottale we have shown that log-periodic behaviors of acceleration or deceleration can be applied to branching macroevolution, to the time sequences of major evolutionary leaps (global life tree, (...)
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  • Complexity and philosophy.Francis Heylighen, Paul Cilliers & Carlos Gershenson - 2006 - In [Book Chapter] (in Press).
    The science of complexity is based on a new way of thinking that stands in sharp contrast to the philosophy underlying Newtonian science, which is based on reductionism, determinism, and objective knowledge. This paper reviews the historical development of this new world view, focusing on its philosophical foundations. Determinism was challenged by quantum mechanics and chaos theory. Systems theory replaced reductionism by a scientifically based holism. Cybernetics and postmodern social science showed that knowledge is intrinsically subjective. These developments are being (...)
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  • The Emergence of Emotions.Richard Sieb - 2013 - Activitas Nervosa Superior 55 (4):115-145.
    Emotion is conscious experience. It is the affective aspect of consciousness. Emotion arises from sensory stimulation and is typically accompanied by physiological and behavioral changes in the body. Hence an emotion is a complex reaction pattern consisting of three components: a physiological component, a behavioral component, and an experiential (conscious) component. The reactions making up an emotion determine what the emotion will be recognized as. Three processes are involved in generating an emotion: (1) identification of the emotional significance of a (...)
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  • Getting things done: The science behind stress-free productivity.Francis Heylighen & Clément Vidal - 2007 - Cogprints.
    Allen (2001) proposed the “Getting Things Done” (GTD) method for personal productivity enhancement, and reduction of the stress caused by information overload. This paper argues that recent insights in psychology and cognitive science support and extend GTD’s recommendations. We first summarize GTD with the help of a flowchart. We then review the theories of situated, embodied and distributed cognition that purport to explain how the brain processes information and plans actions in the real world. The conclusion is that the brain (...)
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  • A compromise between reductionism and non-reductionism.Eray Özkural - 2007 - In Carlos Gershenson, Diederik Aerts & Bruce Edmonds (eds.), Worldviews, Science, and Us: Philosophy and Complexity. World Scientific. pp. 285.
    This paper investigates the seeming incompatibility of reductionism and non-reductionism in the context of complexity sciences. I review algorithmic information theory for this purpose. I offer two physical metaphors to form a better understanding of algorithmic complexity, and I briefly discuss its advantages, shortcomings and applications. Then, I revisit the non-reductionist approaches in philosophy of mind which are often arguments from ignorance to counter physicalism. A new approach called mild non-reductionism is proposed which reconciliates the necessities of acknowledging irreducibility found (...)
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