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  1. Diederik Aerts, Jan Broekaert, Liane Gabora & Sandro Sozzo (2013). Quantum Structure and Human Thought. Behavioral and Brain Sciences 36 (3):274-276.
    We support the authors' claims, except that we point out that also quantum structure different from quantum probability abundantly plays a role in human cognition. We put forward several elements to illustrate our point, mentioning entanglement, contextuality, interference, and emergence as effects, and states, observables, complex numbers, and Fock space as specific mathematical structures.
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  2. Kenneth Aizawa (2013). Introduction to “The Material Bases of Cognition”. Minds and Machines 23 (3):277-286.
  3. William Bechtel (2001). Representations: From Neural Systems to Cognitive Systems. In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Blackwell
  4. Worth Boone & Gualtiero Piccinini (forthcoming). The Cognitive Neuroscience Revolution. Synthese.
    We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels of organization in order to explain (...)
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  5. Martin Andrew Brown (1993). Understanding Language: A Luddite Approach. Dissertation, City University of New York
    According to Chomsky, the ability to speak and understand a language rests in part on knowledge of complex and abstract grammatical rules. This knowledge is used, when a person speaks or understands a sentence, to generate structural descriptions, analogous to those devised by linguists, at an unconscious level of the speaker's or hearer's mind. Speaking and understanding thus involve complex, mental activity akin to translation. Chomsky holds that this activity should be thought of as processes in the brain. ;I argue (...)
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  6. Frances Egan (forthcoming). Function-Theoretic Explanation and the Search for Neural Mechanisms. In David M. Kaplan (ed.), Integrating Mind and Brain Science: Mechanistic Perspectives and Beyond. Oxford University Press
    A common kind of explanation in cognitive neuroscience might be called function-theoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function contributes to the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals the causal structure of (...)
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  7. Miriam Kyselo (2013). Enaktivismus. In A. Stephan & S. Walter (eds.), Handbuch Kognitionswissenschaft. J.B. Metzler
  8. Marcin Miłkowski, Social Intelligence: How to Integrate Research? A Mechanistic Perspective. Proceedings of the European Conference on Social Intelligence (ECSI-2014).
    Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different (...)
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  9. Felipe Romero (2015). Why There Isn’T Inter-Level Causation in Mechanisms. Synthese 192 (11):3731-3755.
    The experimental interventions that provide evidence of causal relations are notably similar to those that provide evidence of constitutive relevance relations. In the first two sections, I show that this similarity creates a tension: there is an inconsistent triad between Woodward’s popular interventionist theory of causation, Craver’s mutual manipulability account of constitutive relevance in mechanisms, and a variety of arguments for the incoherence of inter-level causation. I argue for an interpretation of the views in which the tension is merely apparent. (...)
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  10. Gabriel Vacariu (2013). Troubles with Cognitive Neuroscience. Philosophia Scientiæ 17 (2):151-170.
    In few words, we present the main actual problems of cognitive neuroscience: the binding problem, localization, differentiation–integration in the brain, the troubles created by the brain imaging, and optimism vs. skepticism in cognitive neuroscience. Surprisingly, even if there are more and more experimental results in recent years, we notice no real hope for solving these troubles in the future. Cognitive neuroscience is a science constructed on “correlations” between mental and neuronal states, mainly furnished by the brain imaging—fMRI of the last (...)
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  11. Gabriel Vacariu (2012). Cognitive Neuroscience Versus Epistemologically Different Worlds. University of Bucharest Press.
    From the “epistemologically different worlds” perspective, I analyze the status of cognitive neuroscience today. I investigate the main actual topics in cognitive neuroscience: localization and the brain imaging, the binding problem (Treisman’s feature integration theory and synchronized oscillations approach), differentiation and integration, optimism versus skepticism approaches, perception and object recognition, space and the mind, crossmodal interactions, and the holistic view against localization. I want to show that these problems are pseudo-problems and this “science” has “No ontology landscape”.
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  12. Gabriel Vacariu (2012). Cognitive Neuroscience Versus Epistemologically Different Worlds. University of Bucharest Publishing Company.
    From the “epistemologically different worlds” perspective, I analyze the status of cognitive neuroscience today. I investigate the main actual topics in cognitive neuroscience: localization and the brain imaging, the binding problem (Treisman’s feature integration theory and synchronized oscillations approach), differentation and integration, optimism versus skepticism approaches, perception and object recognition, space and the mind, crossmodal interactions, and the holistic view against localization. The conclusion is that this “science” has “No ontology landscape” and, therefore, cognitive neuroscience is a pseudo-science.
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  13. Orlin Vakarelov (2011). The Cognitive Agent: Overcoming Informational Limits. Adaptive Behavior 19 (2):83-100.
    This article provides an answer to the question: What is the function of cognition? By answering this question it becomes possible to investigate what are the simplest cognitive systems. It addresses the question by treating cognition as a solution to a design problem. It defines a nested sequence of design problems: (1) How can a system persist? (2) How can a system affect its environment to improve its persistence? (3) How can a system utilize better information from the environment to (...)
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  14. Jeroen Van Bouwel (2014). Pluralists About Pluralism? Versions of Explanatory Pluralism in Psychiatry. In M. C. Galavotti, D. Dieks, W. J. Gonzalez, S. Hartmann, Th Uebel & M. Weber (eds.), New Directions in Philosophy of Science (The Philosophy of Science in a European Perspective Series). Springer 105-119.
    In this contribution, I comment on Raffaella Campaner’s defense of explanatory pluralism in psychiatry (in this volume). In her paper, Campaner focuses primarily on explanatory pluralism in contrast to explanatory reductionism. Furthermore, she distinguishes between pluralists who consider pluralism to be a temporary state on the one hand and pluralists who consider it to be a persisting state on the other hand. I suggest that it would be helpful to distinguish more than those two (...)
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  15. Jeff Yoshimi (2012). Supervenience, Dynamical Systems Theory, and Non-Reductive Physicalism. British Journal for the Philosophy of Science 63 (2):373-398.
    It is often claimed (1) that levels of nature are related by supervenience, and (2) that processes occurring at particular levels of nature should be studied using dynamical systems theory. However, there has been little consideration of how these claims are related. To address the issue, I show how supervenience relations give rise to ‘supervenience functions’, and use these functions to show how dynamical systems at different levels are related to one another. I then use this analysis to describe a (...)
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