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  1. Searching for General Principles in Cognitive Performance: Reply to Commentators.Damian G. Stephen & Guy Van Orden - 2012 - Topics in Cognitive Science 4 (1):94-102.
    The commentators expressed concerns regarding the relevance and value of non-computational non-symbolic explanations of cognitive performance. But what counts as an “explanation” depends on the pre-theoretical assumptions behind the scenes of empirical science regarding the kinds of variables and relationships that are sought out in the first place, and some of the present disagreements stem from incommensurate assumptions. Traditional cognitive science presumes cognition to be a decomposable system of components interacting according to computational rules to generate cognitive performances (i.e., component-dominant (...)
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  • A comparison of information processing and dynamical systems perspectives on problem solving.Stephen K. Reed & Robin R. Vallacher - 2019 - Thinking and Reasoning 26 (2):254-290.
    This article compares the information processing and dynamical systems perspectives on problem solving. Key theoretical constructs of the information-processing perspective include “searching” a “p...
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  • Decision-making in Shiatsu bodywork: complementariness of embodied coupling and conceptual inference.Michael Kimmel & Christine Irran - 2021 - Phenomenology and the Cognitive Sciences 21 (2):245-275.
    “4E” cognitive science has demonstrated that embodied coupling offers powerful resources for reasoning. Despite a surge of studies, little empirical attention is paid to discussing the precise scope of these resources and their possible complementariness with traditional knowledge-based inference. We use decision-making in Shiatsu practice – a bodywork method that employs hands-on interaction with a client – to showcase how the two types of cognitive resources can mesh and offer alternative paths to a task: “Local” resources such as embodied presence, (...)
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  • “Cognition” and Dynamical Cognitive Science.Luis H. Favela & Jonathan Martin - 2017 - Minds and Machines 27 (2):331-355.
    Several philosophers have expressed concerns with some recent uses of the term ‘cognition’. Underlying a number of these concerns are claims that cognition is only located in the brain and that no compelling case has been made to use ‘cognition’ in any way other than as a cause of behavior that is representational in nature. These concerns center on two primary misapprehensions: First, that some adherents of dynamical cognitive science think DCS implies the thesis of extended cognition and the rejection (...)
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  • Dynamical systems theory in cognitive science and neuroscience.Luis H. Favela - 2020 - Philosophy Compass 15 (8):e12695.
    Dynamical systems theory (DST) is a branch of mathematics that assesses abstract or physical systems that change over time. It has a quantitative part (mathematical equations) and a related qualitative part (plotting equations in a state space). Nonlinear dynamical systems theory applies the same tools in research involving phenomena such as chaos and hysteresis. These approaches have provided different ways of investigating and understanding cognitive systems in cognitive science and neuroscience. The ‘dynamical hypothesis’ claims that cognition is and can be (...)
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  • The Architecture of Cognition: Rethinking Fodor and Pylyshyn’s Systematicity Challenge.Matteo Colombo - 2016 - Philosophical Psychology 29 (3):476-478.
  • Dynamicism, radical enactivism, and representational cognitive processes: The case of subitization.Misha Ash & Rex Welshon - 2020 - Tandf: Philosophical Psychology 33 (8):1096-1120.
    Volume 33, Issue 8, November 2020, Page 1096-1120.
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  • Radical embodied cognitive neuroscience: Addressing “grand challenges” of the mind sciences.Luis H. Favela - 2014 - Frontiers in Human Neuroscience 8:01-10.
    It is becoming ever more accepted that investigations of mind span the brain, body, and environment. To broaden the scope of what is relevant in such investigations is to increase the amount of data scientists must reckon with. Thus, a major challenge facing scientists who study the mind is how to make big data intelligible both within and between fields. One way to face this challenge is to structure the data within a framework and to make it intelligible by means (...)
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