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  1. Abstract Concepts Require Concrete Models: Why Cognitive Scientists Have Not Yet Embraced Nonlinearly Coupled, Dynamical, Self-Organized Critical, Synergistic, Scale-Free, Exquisitely Context-Sensitive, Interaction-Dominant, Multifractal, Interdependent Brain-Body-Niche Systems.Eric-Jan Wagenmakers, Han L. J. van der Maas & Simon Farrell - 2012 - Topics in Cognitive Science 4 (1):87-93.
    After more than 15 years of study, the 1/f noise or complex-systems approach to cognitive science has delivered promises of progress, colorful verbiage, and statistical analyses of phenomena whose relevance for cognition remains unclear. What the complex-systems approach has arguably failed to deliver are concrete insights about how people perceive, think, decide, and act. Without formal models that implement the proposed abstract concepts, the complex-systems approach to cognitive science runs the danger of becoming a philosophical exercise in futility. The complex-systems (...)
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  • Embodied Cognition and Circular Causality: On the Role of Constitutive Autonomy in the Reciprocal Coupling of Perception and Action.David Vernon, Robert Lowe, Serge Thill & Tom Ziemke - 2015 - Frontiers in Psychology 6.
  • Self-Organization Takes Time Too.Iris van Rooij - 2012 - Topics in Cognitive Science 4 (1):63-71.
    Four articles in this issue of topiCS (volume 4, issue 1) argue against a computational approach in cognitive science in favor of a dynamical approach. I concur that the computational approach faces some considerable explanatory challenges. Yet the dynamicists’ proposal that cognition is self-organized seems to only go so far in addressing these challenges. Take, for instance, the hypothesis that cognitive behavior emerges when brain and body (re-)configure to satisfy task and environmental constraints. It is known that for certain systems (...)
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  • Is Cognitive Science Usefully Cast as Complexity Science?Guy Van Orden & Damian G. Stephen - 2012 - Topics in Cognitive Science 4 (1):3-6.
    Readers of TopiCS are invited to join a debate about the utility of ideas and methods of complexity science. The topics of debate include empirical instances of qualitative change in cognitive activity and whether this empirical work demonstrates sufficiently the empirical flags of complexity. In addition, new phenomena discovered by complexity scientists, and motivated by complexity theory, call into question some basic assumptions of conventional cognitive science such as stable equilibria and homogeneous variance. The articles and commentaries that appear in (...)
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  • The Relationship Between Fractal Dimension and Other-Race and Inversion Effects in Recognising Facial Emotions.Takuma Takehara, Fumio Ochiai, Hiroshi Watanabe & Naoto Suzuki - 2013 - Cognition and Emotion 27 (4):577-588.
  • Complexity and Extended Phenomenological‐Cognitive Systems.Michael Silberstein & Anthony Chemero - 2012 - Topics in Cognitive Science 4 (1):35-50.
    The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain–body–niche systems, promises conceptual and methodological advances. In this article we focus on two of these. First, the fundamental interdependence among brain, body, and niche makes it possible to explain extended cognition without invoking representations or computation. Second, (...)
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  • Dynamical Variety of Shapes in Financial Multifractality.Stanisław Drożdż, Rafał Kowalski, Paweł Oświȩcimka, Rafał Rak & Robert Gȩbarowski - 2018 - Complexity 2018:1-13.
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  • Easier Said Than Done? Task Difficulty's Influence on Temporal Alignment, Semantic Similarity, and Complexity Matching Between Gestures and Speech.Lisette De Jonge-Hoekstra, Ralf F. A. Cox, Steffie Van der Steen & James A. Dixon - 2021 - Cognitive Science 45 (6):e12989.
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  • Behavior Stability and Individual Differences in Pavlovian Extended Conditioning.Gianluca Calcagni, Ernesto Caballero-Garrido & Ricardo Pellón - 2020 - Frontiers in Psychology 11.
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  • What Levels of Explanation in the Behavioural Sciences?Giuseppe Boccignone & Roberto Cordeschi (eds.) - 2015 - Frontiers Media SA.
    Complex systems are to be seen as typically having multiple levels of organization. For instance, in the behavioural and cognitive sciences, there has been a long lasting trend, promoted by the seminal work of David Marr, putting focus on three distinct levels of analysis: the computational level, accounting for the What and Why issues, the algorithmic and the implementational levels specifying the How problem. However, the tremendous developments in neuroscience knowledge about processes at different scales of organization together with the (...)
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