Search results for 'cognitive operations' (try it on Scholar)

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  1. Michael L. Anderson (2007). Massive Redeployment, Exaptation, and the Functional Integration of Cognitive Operations. Synthese 159 (3):329 - 345.score: 124.0
    Abstract: The massive redeployment hypothesis (MRH) is a theory about the functional topography of the human brain, offering a middle course between strict localization on the one hand, and holism on the other. Central to MRH is the claim that cognitive evolution proceeded in a way analogous to component reuse in software engineering, whereby existing components-originally developed to serve some specific purpose-were used for new purposes and combined to support new capacities, without disrupting their participation in existing programs. If (...)
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  2. Tse-fu Kuan (2012). Cognitive Operations in Buddhist Meditation: Interface with Western Psychology. Contemporary Buddhism 13 (1):35-60.score: 120.0
    This paper interprets Buddhist meditation from perspectives of Western psychology and explores the common grounds shared by the two disciplines. Cognitive operations in Buddhist meditation are mainly characterized by mindfulness and concentration in relation to attention. Mindfulness in particular plays a pivotal role in regulating attention. My study based on Buddhist literature corroborates significant correspondence between mindfulness and metacognition as propounded by some psychologists. In vipassan? meditation, mindfulness regulates attention in such a way that attention is directed to (...)
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  3. J. Désautels (2014). Can a “Generic” Subject Produce an Ethical Stance Through Its Own Cognitive Operations? Constructivist Foundations 9 (2):267-268.score: 120.0
    Open peer commentary on the article “Ethics: A Radical-constructivist Approach” by Andreas Quale. Upshot: I agree with some of Quale’s general conclusions, in particular that each individual knower is responsible for choosing among alternatives and the pragmatic consequences that are related to this choice. However, in adopting implicitly the premise according which individual human existence precedes coexistence or social existence, and in focusing on the cognitive operations of a “generic subject” (that is, a disembodied subject coming from nowhere (...)
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  4. William Bechtel, Referring to Localized Cognitive Operations in Parts of Dynamically Active Brains.score: 120.0
    The project of referring to localized cognitive operations in the brain has a long history and many impressive successes. It is a core element in the practice of giving mechanistic explanations of mental abilities. But it has also been challenged by prominent critics. One of the critics’ claims is that brain regions are not specialized for specific cognitive operations and any science that refers to them is misguided. Most recently this claim has been advanced by theorists (...)
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  5. William Bechtel (2008). Mechanisms in Cognitive Psychology: What Are the Operations? Philosophy of Science 75 (5):983-994.score: 96.0
    Cognitive psychologists, like biologists, frequently describe mechanisms when explaining phenomena. Unlike biologists, who can often trace material transformations to identify operations, psychologists face a more daunting task in identifying operations that transform information. Behavior provides little guidance as to the nature of the operations involved. While not itself revealing the operations, identification of brain areas involved in psychological mechanisms can help constrain attempts to characterize the operations. In current memory research, evidence that the same (...)
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  6. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2001). Operational Architectonics of the Human Brain Biopotential Field: Toward Solving the Mind-Brain Problem. [REVIEW] Brain and Mind 2 (3):261-296.score: 90.0
    The understanding of the interrelationship between brain and mind remains far from clear. It is well established that the brain's capacity to integrate information from numerous sources forms the basis for cognitive abilities. However, the core unresolved question is how information about the "objective" physical entities of the external world can be integrated, and how unifiedand coherent mental states (or Gestalts) can be established in the internal entities of distributed neuronal systems. The present paper offers a unified methodological and (...)
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  7. Singh Sa Singh Ar (2011). Brain-Mind Dyad, Human Experience, the Consciousness Tetrad and Lattice of Mental Operations: And Further, The Need to Integrate Knowledge From Diverse Disciplines. Mens Sana Monographs 9 (1):6.score: 90.0
    Brain, Mind and Consciousness are the research concerns of psychiatrists, psychologists, neurologists, cognitive neuroscientists and philosophers. All of them are working in different and important ways to understand the workings of the brain, the mysteries of the mind and to grasp that elusive concept called consciousness. Although they are all justified in forwarding their respective researches, it is also necessary to integrate these diverse appearing understandings and try and get a comprehensive perspective that is, hopefully, more than the sum (...)
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  8. Peter Simons (2011). Cognitive Operations and the Multifarious Reifications of the Unreal. Grazer Philosophische Studien 82 (1):241-254.score: 90.0
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  9. Peer F. Bundgaard, Svend Ostergaard & Frederik Stjernfelt (2006). Waterproof Fire Stations? Conceptual Schemata and Cognitive Operations Involved in Compound Constructions. Semiotica 2006 (161):363-393.score: 90.0
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  10. Jérôme Sackur & Stanislas Dehaene (2009). The Cognitive Architecture for Chaining of Two Mental Operations. Cognition 111 (2):187-211.score: 74.0
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  11. G. Vignaux (1985). On Argumentation, Cognitive and Linguistic Operations. Revue Internationale de Philosophie 39 (155):322-332.score: 72.0
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  12. Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup & Omkar Lele (2011). Augmenting Cognitive Architectures to Support Diagrammatic Imagination. Topics in Cognitive Science 3 (4):760-777.score: 60.0
    Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when diagrams are external, not to mention when there are no external representations, problem solving often calls for internal representations, that is, representations in cognition, of diagrammatic elements and internal perceptions on them. General cognitive architectures—Soar and ACT-R, to name the most prominent—do not have representations and operations to support diagrammatic reasoning. In this article, we examine some requirements for such internal representations and processes (...)
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  13. Harald Atmanspacher & Thomas Filk (2013). The Necker–Zeno Model for Bistable Perception. Topics in Cognitive Science 5 (4):800-817.score: 60.0
    A novel conceptual framework for theoretical psychology is presented and illustrated for the example of bistable perception. A basic formal feature of this framework is the non-commutativity of operations acting on mental states. A corresponding model for the bistable perception of ambiguous stimuli, the Necker–Zeno model, is sketched and some empirical evidence for it so far is described. It is discussed how a temporal non-locality of mental states, predicted by the model, can be understood and tested.
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  14. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2011). Persistent Operational Synchrony Within Brain Default-Mode Network and Self-Processing Operations in Healthy Subjects. Brain and Cognition 75 (2):79-90.score: 56.0
    Based on the theoretical analysis of self-consciousness concepts, we hypothesized that the spatio-temporal pattern of functional connectivity within the default-mode network (DMN) should persist unchanged across a variety of different cognitive tasks or acts, thus being task-unrelated. This supposition is in contrast with current understanding that DMN activated when the subjects are resting and deactivated during any attention-demanding cognitive tasks. To test our proposal, we used, in retrospect, the results from our two early studies ([Fingelkurts, 1998] and [Fingelkurts (...)
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  15. William Bechtel (2009). Constructing a Philosophy of Science of Cognitive Science. Trends in Cognitive Sciences 1 (3):548-569.score: 54.0
    Philosophy of science is positioned to make distinctive contributions to cognitive science by providing perspective on its conceptual foundations and by advancing normative recommendations. The philosophy of science I embrace is naturalistic in that it is grounded in the study of actual science. Focusing on explanation, I describe the recent development of a mechanistic philosophy of science from which I draw three normative consequences for cognitive science. First, insofar as cognitive mechanisms are information-processing mechanisms, cognitive science (...)
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  16. Claudine Provencher (2011). Towards A Better Understanding of Cognitive Polyphasia. Journal for the Theory of Social Behaviour 41 (4):377-395.score: 54.0
    Despite its intuitive appeal and the empirical evidence for it, the hypothesis of cognitive polyphasia (Moscovici, 1961/1976/2008) remains largely unexplored. This article attempts to clarify some of the ideas behind this concept by examining its operations at the level of individuals and by proposing a conceptual model that includes some elements of social cognition. Indeed, calls for a rapprochement between the theory of social representations and cognitive psychology have been made by Moscovici, in particular, in his 1984 (...)
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  17. Roger Lindsay (1996). Cognitive Technology and the Pragmatics of Impossible Plans — A Study in Cognitive Prosthetics. AI and Society 10 (3-4):273-288.score: 54.0
    Do AI programs just make it quicker and easier for humans to do what they can do already, or can the range of do-able things be extended? This paper suggests that cognitively-oriented technology can make it possible for humans to construct and carry out mental operations, which were previously impossible. Probable constraints upon possible human mental operations are identified and the impact of cognitive technology upon them is evaluated. It is argued that information technology functions as a (...)
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  18. Simon van Gaal, Floris P. De Lange & Michael X. Cohen (2012). The Role of Consciousness in Cognitive Control and Decision Making. Frontiers in Human Neuroscience 6.score: 54.0
    Here we review studies on the complexity and strength of unconscious information processing. We focus on empirical evidence that relates awareness of information to cognitive control processes (e.g. response inhibition, conflict resolution, and task-switching), the life-time of information maintenance (e.g. working memory) and the possibility to integrate multiple pieces of information across space and time. Overall, the results that we review paint a picture of local and specific effects of unconscious information on various (high-level) brain regions, including areas in (...)
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  19. Max Velmans (2002). Could Phenomenal Consciousness Function as a Cognitive Unconscious? Behavioral and Brain Sciences 25 (3):357-358.score: 48.0
    Evidence for unconscious semantic representation suggests that a cognitive unconscious exists. Phenomenal consciousness cannot easily be shown to deal with complex cognitive operations such as those involved in language translation and creativity. A self-organising phenomenal consciousness that controls brain functions also runs into mind/body problems (well recognised in the consciousness studies literature) that Perruchet & Vinter must address.
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  20. Alvin I. Goldman (1986). The Cognitive and Social Sides of Epistemology. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:295 - 311.score: 48.0
    Epistemology should accommodate both psychological and social dimensions of knowledge. My framework, called 'epistemics,' divides into individual and social epistemics. Primary individual epistemics, which is closely allied with cognitive science, studies the epistemic properties of basic cognitive operations. Examples are given, focusing on belief perseverance, imagery, deductive reasoning, and acceptance (as modeled by the "connectionist" approach). Social epistemics targets such things as communication practices and institutional characteristics for epistemic evaluation. Rejecting relativism, I defend objective, truth-based, standards of (...)
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  21. Olaf Diettrich (2001). A Physical Approach to the Construction of Cognition and to Cognitive Evolution. Foundations of Science 6 (4):273-341.score: 48.0
    It is shown that the method of operationaldefinition of theoretical terms applied inphysics may well support constructivist ideasin cognitive sciences when extended toobservational terms. This leads to unexpectedresults for the notion of reality, inductionand for the problem why mathematics is sosuccessful in physics.A theory of cognitive operators is proposedwhich are implemented somewhere in our brainand which transform certain states of oursensory apparatus into what we call perceptionsin the same sense as measurement devicestransform the interaction with the object intomeasurement (...)
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  22. Srikantan S. Nagarajan Leighton B. N. Hinkley, Julia P. Owen, Melissa Fisher, Anne M. Findlay, Sophia Vinogradov (2009). Cognitive Impairments in Schizophrenia as Assessed Through Activation and Connectivity Measures of Magnetoencephalography (MEG) Data. Frontiers in Human Neuroscience 3.score: 48.0
    The cognitive dysfunction present in patients with schizophrenia is thought to be driven in part by disorganized connections between higher-order cortical fields. Although studies utilizing EEG, PET and fMRI have contributed significantly to our understanding of these mechanisms, magnetoencephalography (MEG) possesses great potential to answer long-standing questions linking brain interactions to cognitive operations in the disorder. Many experimental paradigms employed in EEG and fMRI are readily extendible to MEG and have expanded our understanding of the neurophysiological architecture (...)
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  23. Alexander V. Shkurko (2014). Cognitive Mechanisms of Ingroup/Outgroup Distinction. Journal for the Theory of Social Behaviour 44 (2).score: 48.0
    People use social categories to perceive and interact with the social world. Different categorizations often share similar cognitive, affective and behavioral features. This leads to a hypothesis of the common representational forms of social categorization. Studies in social categorization often use the terms “ingroup” and “outgroup” without clear conceptualization of the terms. I argue that the ingroup/outgroup distinction should be treated as an elementary relational ego-centric form of social categorization based on specific cognitive mechanisms. Such an abstract relational (...)
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  24. Georges Vignaux (1992). From Negation to ?Notion?: Cognitive Processes and Argumentative Strategies. [REVIEW] Argumentation 6 (1):29-39.score: 48.0
    This article deals with the role of negation as a language and cognitive operation. Such a topic is treated here within the framework of the argumentative strategies which consist in making certain cognitive landmarks of the discourse ‘flip over’ with the intent of imposing the necessity to choose between two types of ‘notions’, aiming at the transformation of this choice into an ‘implication’. The reference here to the Aristotelian logic of Prior Analytics appears to be more efficient than (...)
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  25. K. A. Shapiro, L. R. Moo & A. Caramazza (2011). Neural Specificity for Grammatical Operations is Revealed by Content-Independent fMR Adaptation. Frontiers in Psychology 3:26-26.score: 48.0
    The ability to generate novel sentences depends on cognitive operations that specify the syntactic function of nouns, verbs, and other words retrieved from the mental lexicon. Although neuropsychological studies suggest that such operations rely on neural circuits distinct from those encoding word form and meaning, it has not been possible to characterize this distinction definitively with neuroimaging. We used functional magnetic resonance imaging (fMRI) to show that a brain area engaged in a given grammatical operation can be (...)
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  26. Arthur S. Reber (1993). Implicit Learning and Tacit Knowledge: An Essay on the Cognitive Unconscious. Oxford University Press.score: 46.0
    In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one that lies (...)
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  27. H. Clark Barrett (2005). Enzymatic Computation and Cognitive Modularity. Mind and Language 20 (3):259-87.score: 46.0
    Currently, there is widespread skepticism that higher cognitive processes, given their apparent flexibility and globality, could be carried out by specialized computational devices, or modules. This skepticism is largely due to Fodor’s influential definition of modularity. From the rather flexible catalogue of possible modular features that Fodor originally proposed has emerged a widely held notion of modules as rigid, informationally encapsulated devices that accept highly local inputs and whose opera- tions are insensitive to context. It is a mistake, however, (...)
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  28. Mark Rowlands (2009). Extended Cognition and the Mark of the Cognitive. Philosophical Psychology 22 (1):1 – 19.score: 42.0
    According to the thesis of the extended mind (EM) , at least some token cognitive processes extend into the cognizing subject's environment in the sense that they are (partly) composed of manipulative, exploitative, and transformative operations performed by that subject on suitable environmental structures. EM has attracted four ostensibly distinct types of objection. This paper has two goals. First, it argues that these objections all reduce to one basic sort: all the objections can be resolved by the provision (...)
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  29. Seana Coulson (2001). Semantic Leaps: Frame-Shifting and Conceptual Blending in Meaning Construction. Cambridge University Press.score: 42.0
    Semantic Leaps explores how people combine knowledge from different domains in order to understand and express new ideas. Concentrating on dynamic aspects of on-line meaning construction, Coulson identifies two related sets of processes: frame-shifting and conceptual blending. Frame-shifting is semantic reanalysis in which existing elements in the contextual representation are reorganized into a new frame. Conceptual blending is a set of cognitive operations for combining partial cognitive models. By addressing linguistic phenomena often ignored in traditional meaning research, (...)
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  30. Lawrence W. Barsalou (2010). Grounded Cognition: Past, Present, and Future. Topics in Cognitive Science 2 (4):716-724.score: 42.0
    Thirty years ago, grounded cognition had roots in philosophy, perception, cognitive linguistics, psycholinguistics, cognitive psychology, and cognitive neuropsychology. During the next 20 years, grounded cognition continued developing in these areas, and it also took new forms in robotics, cognitive ecology, cognitive neuroscience, and developmental psychology. In the past 10 years, research on grounded cognition has grown rapidly, especially in cognitive neuroscience, social neuroscience, cognitive psychology, social psychology, and developmental psychology. Currently, grounded cognition appears (...)
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  31. Giulio Benedetti, Giorgio Marchetti, Alexander A. Fingelkurts & Andrew A. Fingelkurts (2010). Mind Operational Semantics and Brain Operational Architectonics: A Putative Correspondence. Open Neuroimaging Journal 4:53-69.score: 42.0
    Despite allowing for the unprecedented visualization of brain functional activity, modern neurobio-logical techniques have not yet been able to provide satisfactory answers to important questions about the relationship between brain and mind. The aim of this paper is to show how two different but complementary approaches, Mind Operational Semantics (OS) and Brain Operational Architectonics (OA), can help bridge the gap between a specific kind of mental activity—the higher-order reflective thought or linguistic thought—and brain. The fundamental notion that allows the two (...)
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  32. Ron McClamrock (1995). Existential Cognition: Computational Minds in the World. University of Chicago Press.score: 42.0
    While the notion of the mind as information-processor--a kind of computational system--is widely accepted, many scientists and philosophers have assumed that this account of cognition shows that the mind's operations are characterizable independent of their relationship to the external world. Existential Cognition challenges the internalist view of mind, arguing that intelligence, thought, and action cannot be understood in isolation, but only in interaction with the outside world. Arguing that the mind is essentially embedded in the external world, Ron McClamrock (...)
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  33. William P. Bechtel (2005). The Challenge of Characterizing Operations in the Mechanisms Underlying Behavior. Journal of the Experimental Analysis of Behavior 84:313-325.score: 42.0
    Neuroscience and cognitive science seek to explain behavioral regularities in terms of underlying mechanisms. An important element of a mechanistic explanation is a characterization of the operations of the parts of the mechanism. The challenge in characterizing such operations is illustrated by an example from the history of physiological chemistry in which some investigators tried to characterize the internal operations in the same terms as the overall physiological system while others appealed to elemental chemistry. In order (...)
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  34. William Bechtel & Adele Abrahamsen (2010). Dynamic Mechanistic Explanation: Computational Modeling of Circadian Rhythms as an Exemplar for Cognitive Science. Studies in History and Philosophy of Science Part A 41 (3):321-333.score: 42.0
    Two widely accepted assumptions within cognitive science are that (1) the goal is to understand the mechanisms responsible for cognitive performances and (2) computational modeling is a major tool for understanding these mechanisms. The particular approaches to computational modeling adopted in cognitive science, moreover, have significantly affected the way in which cognitive mechanisms are understood. Unable to employ some of the more common methods for conducting research on mechanisms, cognitive scientists’ guiding ideas about mechanism have (...)
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  35. Clark H. Barrett (2005). Enzymatic Computation and Cognitive Modularity. Mind and Language 20 (3):259-287.score: 42.0
    Currently, there is widespread skepticism that higher cognitive processes, given their apparent flexibility and globality, could be carried out by specialized computational devices, or modules. This skepticism is largely due to Fodor’s influential definition of modularity. From the rather flexible catalogue of possible modular features that Fodor originally proposed has emerged a widely held notion of modules as rigid, informationally encapsulated devices that accept highly local inputs and whose opera- tions are insensitive to context. It is a mistake, however, (...)
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  36. Mike Oaksford & Nick Chater (2012). Dual Processes, Probabilities, and Cognitive Architecture. Mind and Society 11 (1):15-26.score: 42.0
    It has been argued that dual process theories are not consistent with Oaksford and Chater’s probabilistic approach to human reasoning (Oaksford and Chater in Psychol Rev 101:608–631, 1994 , 2007 ; Oaksford et al. 2000 ), which has been characterised as a “single-level probabilistic treatment[s]” (Evans 2007 ). In this paper, it is argued that this characterisation conflates levels of computational explanation. The probabilistic approach is a computational level theory which is consistent with theories of general cognitive architecture that (...)
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  37. Terrence C. Stewart & Chris Eliasmith (2013). Realistic Neurons Can Compute the Operations Needed by Quantum Probability Theory and Other Vector Symbolic Architectures. Behavioral and Brain Sciences 36 (3):307 - 308.score: 42.0
    Quantum probability (QP) theory can be seen as a type of vector symbolic architecture (VSA): mental states are vectors storing structured information and manipulated using algebraic operations. Furthermore, the operations needed by QP match those in other VSAs. This allows existing biologically realistic neural models to be adapted to provide a mechanistic explanation of the cognitive phenomena described in the target article by Pothos & Busemeyer (P&B).
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  38. Vincent Bergeron (2010). Neural Reuse and Cognitive Homology. Behavioral and Brain Sciences 33 (4):268-269.score: 42.0
    Neural reuse theories suggest that, in the course of evolution, a brain structure may acquire or lose a number of cognitive uses while maintaining its cognitive workings (or low-level operations) fixed. This, in turn, suggests that homologous structures may have very different cognitive uses, while sharing the same workings. And this, essentially, is homology thinking applied to brain function.
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  39. Oscar Lucas González Castán (2005). Cognitive Science and Liberal Contractualism: A Good Friendship. Revista de Filosofía 30:63-75.score: 42.0
    In this paper, I shall argue that both cognitivism and liberal contractualism defend a pre-moral conception of human desire that has its origin in the Hobbesian and Humean tradition that both theories share. Moreover, the computational and syntactic themes in cognitive science support the notion, which Gauthier evidently shares, that the human mind ¿ or, in Gauthier¿s case, the mind of ¿economic man¿ ¿ is a purely formal mechanism, characterized by logical and mathematical operations. I shall conclude that (...)
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  40. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2006). Timing in Cognition and EEG Brain Dynamics: Discreteness Versus Continuity. Cognitive Processing 7 (3):135-162.score: 36.0
    This article provides an overview of recent developments in solving the timing problem (discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical studies have been considered, with an emphasis on the framework of Operational Architectonics (OA) of brain functioning (Fingelkurts and Fingelkurts, 2001, 2005). This framework explores the temporal structure of information flow and interarea interactions within the network of functional neuronal populations by examining topographic sharp transition processes in the scalp EEG, on the millisecond scale. We conclude, (...)
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  41. Tim van Gelder (1999). Defending the Dynamic Hypothesis. In Wolfgang Tschacher & J-P Dauwalder (eds.), Dynamics, Synergetics, Autonomous Agents: Nonlinear Systems Approaches to Cognitive Psychology and Cognitive Science. Singapore: World Scientific.score: 36.0
    Cognitive science has always been dominated by the idea that cognition is _computational _in a rather strong and clear sense. Within the mainstream approach, cognitive agents are taken to be what are variously known as _physical symbol_ _systems, digital computers_, _syntactic engines_, or_ symbol manipulators_. Cognitive operations are taken to consist in the shuffling of symbol tokens according to strict rules (programs). Models of cognition are themselves digital computers, implemented on general purpose electronic machines. The basic (...)
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  42. Carita Paradis (2005). Ontologies and Construals in Lexical Semantics. Axiomathes 15 (4):541-573.score: 36.0
    The purpose of this paper is to propose a framework of lexical meaning, broadly along the lines of Cognitive Semantics (Langacker 1987a). Within the proposed model, all aspects of meaning are to be explained in terms of properties of ontologies in conceptual space, i.e. properties of content ontologies and schematic ontologies and construals which are imposed on the conceptual structures on the occasion of use. It is through the operations of construals on ontological structures that different readings of (...)
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  43. Paul R. Thagard (2002). How Molecules Matter to Mental Computation. Philosophy of Science 69 (3):497-518.score: 36.0
    Almost all computational models of the mind and brain ignore details about neurotransmitters, hormones, and other molecules. The neglect of neurochemistry in cognitive science would be appropriate if the computational properties of brains relevant to explaining mental functioning were in fact electrical rather than chemical. But there is considerable evidence that chemical complexity really does matter to brain computation, including the role of proteins in intracellular computation, the operations of synapses and neurotransmitters, and the effects of neuromodulators such (...)
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  44. Emmanuel M. Pothos (2005). The Rules Versus Similarity Distinction. Behavioral and Brain Sciences 28 (1):1-14.score: 36.0
    The distinction between rules and similarity is central to our understanding of much of cognitive psychology. Two aspects of existing research have motivated the present work. First, in different cognitive psychology areas we typically see different conceptions of rules and similarity; for example, rules in language appear to be of a different kind compared to rules in categorization. Second, rules processes are typically modeled as separate from similarity ones; for example, in a learning experiment, rules and similarity influences (...)
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  45. Marcin Miłkowski (2013). Explaining the Computational Mind. MIT Press.score: 36.0
    In the book, I argue that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. All these capacities arise from complex information-processing operations of the mind. By analyzing the state of the art in cognitive science, I develop an account of computational explanation used to explain the capacities in question.
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  46. Yingxu Wang (2003). Using Process Algebra to Describe Human and Software Behaviors. Brain and Mind 4 (2):199-213.score: 36.0
    Although there are various ways to express actions and behaviors in natural languages, it is found in cognitive informatics that human and system behaviors may be classified into three basic categories: to be , to have , and to do . All mathematical means and forms, in general, are an abstract description of these three categories of system behaviors and their common rules. Taking this view, mathematical logic may be perceived as the abstract means for describing to be, set (...)
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  47. Dana H. Ballard, Mary M. Hayhoe, Polly K. Pook & Rajesh P. N. Rao (1997). Deictic Codes for the Embodiment of Cognition. Behavioral and Brain Sciences 20 (4):723-742.score: 36.0
    To describe phenomena that occur at different time scales, computational models of the brain must incorporate different levels of abstraction. At time scales of approximately 1/3 of a second, orienting movements of the body play a crucial role in cognition and form a useful computational level embodiment level,” the constraints of the physical system determine the nature of cognitive operations. The key synergy is that at time scales of about 1/3 of a second, the natural sequentiality of body (...)
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  48. Paul C. Martin (2013). The Exploratory and Reflective Domain of Metaphor in the Comparison of Religions. Zygon 48 (4):936-965.score: 36.0
    There has been a longstanding interest in discovering or uncovering resemblances among what are ostensibly diverse religious schemas by employing a range of methodological approaches and tools. However, it is generally considered a problematic undertaking. Jonathan Z. Smith has produced a large body of work aimed at explicating this and has tacitly based his model of comparison on metaphor, which is traditionally understood to connote similarity between two or more things, as based on a linguistic or pragmatic assessment. However, another (...)
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  49. Alan Anticevic & Philip R. Corlett (2012). Cognition-Emotion Dysinteraction in Schizophrenia. Frontiers in Psychology 3.score: 36.0
    Evolving theories of schizophrenia emphasize a ‘disconnection’ in distributed fronto-striatal-limbic neural systems, which may give rise to breakdowns in cognition and emotional function. We discuss these diverse domains of function from the perspective of disrupted neural circuits involved in ‘cold’ cognitive vs. ‘hot’ affective operations and the interplay between these processes. We focus on three research areas that highlight cognition-emotion dysinteractions in schizophrenia: First, we discuss the role of cognitive deficits in the ‘maintenance’ of emotional information. We (...)
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  50. E. Kerckhofs Jochen Vandenbossche, N. Deroost, E. Soetens, D. Coomans, J. Spildooren, S. Vercruysse, A. Nieuwboer (2012). Freezing of Gait in Parkinson's Disease: Disturbances in Automaticity and Control. Frontiers in Human Neuroscience 6.score: 36.0
    Recent studies emphasize a key role of controlled operations, such as set-shifting and inhibition, in the occurrence of freezing of gait (FOG) in Parkinson’s disease (PD). However, FOG can also be characterized as a de-automatization disorder, showing impairments in both the execution and acquisition of automaticity. The observed deficits in automaticity and executive functioning indicate that both processes are malfunctioning in freezers. Therefore, to explain FOG from a cognitive-based perspective, we present a model describing the pathways involved in (...)
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