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  1. Cognitive Systems, Predictive Processing, and the Self.Robert D. Rupert - manuscript
    This essay presents the conditional probability of co-contribution account of the individuation of cognitive systems (CPC) and argues that CPC provides an attractive basis for a theory of the cognitive self. I proceed in a largely indirect way, by emphasizing empirical challenges faced by an approach that relies entirely on predictive processing (PP) mechanisms to ground a theory of the cognitive self. Given the challenges faced by PP-based approaches, we should prefer a theory of the cognitive self of the sort (...)
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  2. Unbelievable Similarities Between Georg Northoff's Ideas (Canada, 2011-2014) and Gabriel Vacariu's Ideas (2005-2008).Gabriel Vacariu - manuscript
    Many ideas from Georg Nortoff’s works (published one paper in 2010, mainly his book in 2011, other papers in 2012, 2103, 2014, especially those related to Kant’s philosophy and the notion of the “observer”, the mind-brain problem, default mode network, the self, the mental states and their “correspondence” to the brain) are surprisingly very similar to my ideas published in my article from 2002, 2005 and my book from 2008. In two papers from 2002 (also my paper from 2005 and (...)
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  3. (March 2017) Gabriel Vacariu, "Similarities Between Adam Frank’s Ideas (2016 or 2017?) (“Minding Matter - The Closer You Look, the More the Materialist Position in Physics Appears to Rest on Shaky Metaphysical Ground” ) and My Ideas (2005, 2008)".Gabriel Vacariu - March 2017 - Dissertation, Bucharest University
    A friend of my sent me the address where this paper has been posted by Adam Frank. Reading it, I realized that more than 90% of the main ideas of this paper (about the mind-brain problem, quantum mechanics (microparticles-wave relationship, Schrodinger equation, probabilities, “perceiving subject in physics”, the idea about consciousness and Nagel, etc. etc.) are UNBELIEVABLE similar to my ideas from my paper 2005 or my book 2008!!!
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  4. Phenomenology and Naturalism in Autopoietic and Radical Enactivism: Exploring Sense-Making and Continuity From the Top Down.Hayden Kee - forthcoming - Synthese:1-21.
    Radical and autopoietic enactivists disagree concerning how to understand the concept of sense-making in enactivist discourse and the extent of its distribution within the organic domain. I situate this debate within a broader conflict of commitments to naturalism on the part of radical enactivists, and to phenomenology on the part of autopoietic enactivists. I argue that autopoietic enactivists are in part responsible for the obscurity of the notion of sense-making by attributing it univocally to sentient and non-sentient beings and following (...)
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  5. Rise of the Swamp Creatures: Reflections on a Mechanistic Approach to Content.Jonny Lee - forthcoming - Philosophical Psychology:1-24.
    Recent developments in the literature suggest cognitive representation can be conceived of as a kind of mechanism that meets the functional profile set out by the S-representation account. However, this approach is threatened by worries that the S-representation account cannot tell a satisfactory story about content determination at the subpersonal level. One solution is to complement the S-representation account with a traditional etiological theory of content determination. This paper argues such a move is unwarranted and threatens the broader project of (...)
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  6. Introduction to Philosophy of Science.Carlos Mariscal - forthcoming - In Benjamin D. Young & Carolyn Dicey Jennings (eds.), Mind, Cognition, and Neuroscience.
    This chapter will be a brief survey of the concepts from general philosophy of science for those interested in cognitive science. It covers several major topics in the philosophy of science: scientific explanation and underdetermination, reductionism and levels of nature, and scientific realism. We will discuss the goals of science, the methods of science, and the most plausible interpretations of science. To demonstrate the importance of these topics, the chapter includes cases in which confusion over these issues has led scientists (...)
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  7. The Science of Belief: A Progress Report.Nicolas Porot & Eric Mandelbaum - forthcoming - WIREs Cognitive Science 1.
    The empirical study of belief is emerging at a rapid clip, uniting work from all corners of cognitive science. Reliance on belief in understanding and predicting behavior is widespread. Examples can be found, inter alia, in the placebo, attribution theory, theory of mind, and comparative psychological literatures. Research on belief also provides evidence for robust generalizations, including about how we fix, store, and change our beliefs. Evidence supports the existence of a Spinozan system of belief fixation: one that is automatic (...)
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  8. Computational Cognitive Neuroscience.Carlos Zednik - forthcoming - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge.
    This chapter provides an overview of the basic research strategies and analytic techniques deployed in computational cognitive neuroscience. On the one hand, “top-down” strategies are used to infer, from formal characterizations of behavior and cognition, the computational properties of underlying neural mechanisms. On the other hand, “bottom-up” research strategies are used to identify neural mechanisms and to reconstruct their computational capacities. Both of these strategies rely on experimental techniques familiar from other branches of neuroscience, including functional magnetic resonance imaging, single-cell (...)
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  9. Grounding Cognition: Heterarchical Control Mechanisms in Biology.William Bechtel & Leonardo Bich - 2021 - Philosophical Transactions of the Royal Society B: Biological Sciences 376 (1820).
    We advance an account that grounds cognition, specifically decision-making, in an activity all organisms as autonomous systems must perform to keep themselves viable—controlling their production mechanisms. Production mechanisms, as we characterize them, perform activities such as procuring resources from their environment, putting these resources to use to construct and repair the organism's body and moving through the environment. Given the variable nature of the environment and the continual degradation of the organism, these production mechanisms must be regulated by control mechanisms (...)
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  10. Being Realist About Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.
    Some naturalistic philosophers of mind subscribing to the predictive processing theory of mind have adopted a realist attitude towards the results of Bayesian cognitive science. In this paper, we argue that this realist attitude is unwarranted. The Bayesian research program in cognitive science does not possess special epistemic virtues over alternative approaches for explaining mental phenomena involving uncertainty. In particular, the Bayesian approach is not simpler, more unifying, or more rational than alternatives. It is also contentious that the Bayesian approach (...)
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  11. An Approach to Aligning Categorical and Continuous Time Series for Studying the Dynamics of Complex Human Behavior.Kentaro Kodama, Daichi Shimizu, Rick Dale & Kazuki Sekine - 2021 - Frontiers in Psychology 12.
    An emerging perspective on human cognition and performance sees it as a kind of self-organizing phenomenon involving dynamic coordination across the body, brain and environment. Measuring this coordination faces a major challenge. Time series obtained from such cognitive, behavioral, and physiological coordination are often complicated in terms of non-stationarity and non-linearity, and in terms of continuous vs. categorical scales. Researchers have proposed several analytical tools and frameworks. One method designed to overcome these complexities is recurrence quantification analysis, developed in the (...)
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  12. Experiential Explanation.Sara Aronowitz & Tania Lombrozo - 2020 - Topics in Cognitive Science 12 (4):1321-1336.
    People often answer why-questions with what we call experiential explanations: narratives or stories with temporal structure and concrete details. In contrast, on most theories of the epistemic function of explanation, explanations should be abstractive: structured by general relationships and lacking extraneous details. We suggest that abstractive and experiential explanations differ not only in level of abstraction, but also in structure, and that each form of explanation contributes to the epistemic goals of individual learners and of science. In particular, experiential explanations (...)
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  13. Laser Lights and Designer Drugs: New Techniques for Descending Levels of Mechanisms “in a Single Bound”?John Bickle - 2020 - Topics in Cognitive Science 12 (4):1241-1256.
    Optogenetics and DREADDs (Designer Receptors Exclusively Activated by Designer Drugs) are important research tools in recent neurobiology. These tools allow unprecedented control over activity in specifically targeted neurons in behaving animals. Two approaches in philosophy of neuroscience, mechanism and ruthless reductionism, provide explicit accounts of experiments and results using tools like these, but each offers a different picture about how levels of mechanisms relate. I argue here that the ruthless reductionist’s direct mind‐to‐cellular/molecular activities linkages “in a single bound” better fits (...)
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  14. Editors’ Review and Introduction: Levels of Explanation in Cognitive Science: From Molecules to Culture.Matteo Colombo & Markus Knauff - 2020 - Topics in Cognitive Science 12 (4):1224-1240.
    Cognitive science began as a multidisciplinary endeavor to understand how the mind works. Since the beginning, cognitive scientists have been asking questions about the right methodologies and levels of explanation to pursue this goal, and make cognitive science a coherent science of the mind. Key questions include: Is there a privileged level of explanation in cognitive science? How do different levels of explanation fit together, or relate to one another? How should explanations at one level inform or constrain explanations at (...)
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  15. Neural correlates without reduction: the case of the critical period.Muhammad Ali Khalidi - 2020 - Synthese 197 (5):1-13.
    Researchers in the cognitive sciences often seek neural correlates of psychological constructs. In this paper, I argue that even when these correlates are discovered, they do not always lead to reductive outcomes. To this end, I examine the psychological construct of a critical period and briefly describe research identifying its neural correlates. Although the critical period is correlated with certain neural mechanisms, this does not imply that there is a reductionist relationship between this psychological construct and its neural correlates. Instead, (...)
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  16. Unconscious Inference Theories of Cognitive Acheivement.Kirk Ludwig & Wade Munroe - 2020 - In Anders Nes & Timothy Chan (eds.), Inference and Consciousness. New York: Routledge. pp. 15-39.
    This chapter argues that the only tenable unconscious inferences theories of cognitive achievement are ones that employ a theory internal technical notion of representation, but that once we give cash-value definitions of the relevant notions of representation and inference, there is little left of the ordinary notion of representation. We suggest that the real value of talk of unconscious inferences lies in (a) their heuristic utility in helping us to make fruitful predictions, such as about illusions, and (b) their providing (...)
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  17. मैं डगलस Hofstadter (2007) द्वारा एक अजीब लू प हूँ की समीक्षा--Review of I Am a Strange Loop by Douglas Hofstadter.Michael Richard Starks - 2020 - In पृथ्वी पर नर्क में आपका स्वागत है: शिशुओं, जलवायु परिवर्तन, बिटकॉइन, कार्टेल, चीन, लोकतंत्र, विविधता, समानता, हैकर्स, मानव अधिकार, इस्लाम, उदारवाद, समृद्धि, वेब, अराजकता, भुखमरी, बीमारी, हिंसा, कृत्रिम बुद्धिमत्ता, युद्ध. Las Vegas, NV,. USA: Reality Press. pp. 130-150.
    पादरी Hofstadter द्वारा कट्टरपंथी प्रकृतिवाद के चर्च से नवीनतम उपदेश. अपने बहुत अधिक प्रसिद्ध (या अपने अथक दार्शनिक त्रुटियों के लिए कुख्यात) काम Godel, Escher, बाख की तरह, यह एक सतही प्रशंसनीयता है, लेकिन अगर एक समझता है कि यह बड़े पैमाने पर वैज्ञानिकता है जो दार्शनिक लोगों के साथ वास्तविक वैज्ञानिक मुद्दों घोला जा सकता है (यानी, केवल असली मुद्दों क्या भाषा का खेल हम खेलना चाहिए रहे हैं) तो लगभग सभी अपनी रुचि गायब हो जाता है. मैं विकासवादी (...)
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  18. Ver con los dos sistemas de pensamiento: una revisión de "Ver las cosas como son: una teoría de la percepción" (Seeing Things As They Are: a Theory of Perception) de John Searle (2015).Michael Richard Starks - 2020 - In Comprender las Conexiones entre Ciencia, Filosofía, Psicología, Religión, Política, Economía, Historia y Literatura Artículos y reseñas 2006-2019. Las Vegas, NV USA: Reality Press. pp. 65-104.
    Como tantas veces en filosofía, el título no sólo establece la línea de batalla, sino que expone los prejuicios y errores del autor, ya que si podemos o no dar sentido al juego de idiomas 'Ver las cosas como son' y si es posible tener una 'teoría filosófica' de percepción' (que sólo puede ser sobre cómo funciona el lenguaje de la percepción), a diferencia de uno científico, que es una teoría sobre cómo funciona el cerebro, son exactamente los problemas. Este (...)
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  19. 검토 '우리는 유선이야?'(Are We Hardwired? ) Clark & Grunstein (2000).Michael Richard Starks - 2020 - In 지구상의 지옥에 오신 것을 환영합니다 : 아기, 기후 변화, 비트 코인, 카르텔, 중국, 민주주의, 다양성, 역학, 평등, 해커, 인권, 이슬람, 자유주의, 번영, 웹, 혼돈, 기아, 질병, 폭력, 인공 지능, 전쟁. Las Vegas, NV USA: Reality Press. pp. 99-101.
    이것은 행동에 유전자/환경 상호 작용의 훌륭한 검토 이며, 조금 일자 임에도 불구 하 고, 쉽고 가치 있는 읽기. 그(것)들은 행동에 유전학의 압도적인 충격을 보여주는 쌍둥이 연구 결과로 시작합니다. 그들은 공유 가정 환경이 행동에 거의 영향을 미치지 않으며 입양 된 자녀가 무작위로 선택된 사람들처럼 의붓 형제 자매와 다르게 자라는 사실을 확장하고 요약하는 주디스 해리스 (Judith Harris)의 점점 더 잘 알려진 연구에 주목합니다. 그들 (그리고 행동 유전학을 토론하는 거의 모든 사람들이) 주의하지 못하는 한 가지 기본 포인트는 우리의 성격의 모든 기초를 포함하여 인간의 (...)
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  20. Foundation for a Realist Ontology of Cognitive Processes.David Kasmier, David Limbaugh & Barry Smith - 2019 - In Proceedings of the International Conference on Biomedical Ontology (ICBO), University at Buffalo, NY.
    What follows is a first step towards an ontology of conscious mental processes. We provide a theoretical foundation and characterization of conscious mental processes based on a realist theory of intentionality and using BFO as our top-level ontology. We distinguish three components of intentional mental process: character, directedness, and objective referent, and describe several features of the process character and directedness significant to defining and classifying mental processes. We arrive at the definition of representational mental process as a process that (...)
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  21. What’s Wrong with the Consequence Argument: A Compatibilist Libertarian Response.Christian List - 2019 - Proceedings of the Aristotelian Society 119 (3):253-274.
    The most prominent argument for the incompatibility of free will and determinism is Peter van Inwagen’s consequence argument. I offer a new diagnosis of what is wrong with this argument. Proponents and critics typically accept the way the argument is framed, and only disagree on whether the premisses and rules of inference are true. I suggest that the argument involves a category mistake: it conflates two different levels of description, namely, the physical level at which we describe the world from (...)
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  22. What’s Wrong with the Consequence Argument: A Compatibilist Libertarian Response.Christian List - 2019 - Proceedings of the Aristotelian Society 119 (3):253-274.
    The most prominent argument for the incompatibility of free will and determinism is Peter van Inwagen’s consequence argument. I offer a new diagnosis of what is wrong with this argument. Proponents and critics typically accept the way the argument is framed, and only disagree on whether the premisses and rules of inference are true. I suggest that the argument involves a category mistake: it conflates two different levels of description, namely, the physical level at which we describe the world from (...)
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  23. Patterns in Cognitive Phenomena and Pluralism of Explanatory Styles.Angela Potochnik & Guilherme Sanches de Oliveira - 2019 - Topics in Cognitive Science 12 (4):1306-1320.
    Debate about cognitive science explanations has been formulated in terms of identifying the proper level(s) of explanation. Views range from reductionist, favoring only neuroscience explanations, to mechanist, favoring the integration of multiple levels, to pluralist, favoring the preservation of even the most general, high-level explanations, such as those provided by embodied or dynamical approaches. In this paper, we challenge this framing. We suggest that these are not different levels of explanation at all but, rather, different styles of explanation that capture (...)
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  24. Model-Based Cognitive Neuroscience: Multifield Mechanistic Integration in Practice.Mark Povich - 2019 - Theory & Psychology 5 (29):640–656.
    Autonomist accounts of cognitive science suggest that cognitive model building and theory construction (can or should) proceed independently of findings in neuroscience. Common functionalist justifications of autonomy rely on there being relatively few constraints between neural structure and cognitive function (e.g., Weiskopf, 2011). In contrast, an integrative mechanistic perspective stresses the mutual constraining of structure and function (e.g., Piccinini & Craver, 2011; Povich, 2015). In this paper, I show how model-based cognitive neuroscience (MBCN) epitomizes the integrative mechanistic perspective and concentrates (...)
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  25. Evaluating Methods of Correcting for Multiple Comparisons Implemented in SPM12 in Social Neuroscience fMRI Studies: An Example From Moral Psychology.Hyemin Han & Andrea L. Glenn - 2018 - Social Neuroscience 13 (3):257-267.
    In fMRI research, the goal of correcting for multiple comparisons is to identify areas of activity that reflect true effects, and thus would be expected to replicate in future studies. Finding an appropriate balance between trying to minimize false positives (Type I error) while not being too stringent and omitting true effects (Type II error) can be challenging. Furthermore, the advantages and disadvantages of these types of errors may differ for different areas of study. In many areas of social neuroscience (...)
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  26. Still Autonomous After All.Andrew Knoll - 2018 - Minds and Machines 28 (1):7-27.
    Recent mechanistic philosophers :1287–1321, 2016) have argued that the cognitive sciences are not autonomous from neuroscience proper. I clarify two senses of autonomy–metaphysical and epistemic—and argue that cognitive science is still autonomous in both senses. Moreover, mechanistic explanation of cognitive phenomena is not therefore an alternative to the view that cognitive science is autonomous of neuroscience. If anything, it’s a way of characterizing just how cognitive processes are implemented by neural mechanisms.
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  27. The Self in the Age of Cognitive Science: Decoupling the Self From the Personal Level.Robert D. Rupert - 2018 - Philosophic Exchange 2018.
    Philosophers of mind commonly draw a distinction between the personal level – the distinctive realm of conscious experience and reasoned deliberation – and the subpersonal level, the domain of mindless mechanism and brute cause and effect. Moreover, they tend to view cognitive science through the lens of this distinction. Facts about the personal level are given a priori, by introspection, or by common sense; the job of cognitive science is merely to investigate the mechanistic basis of these facts. I argue (...)
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  28. Rational Analysis, Intractability, and the Prospects of ‘as If’-Explanations.Iris van Rooij, Cory Wright, Johan Kwisthout & Todd Wareham - 2018 - Synthese 195 (2):491-510.
    Despite their success in describing and predicting cognitive behavior, the plausibility of so-called ‘rational explanations’ is often contested on the grounds of computational intractability. Several cognitive scientists have argued that such intractability is an orthogonal pseudoproblem, however, since rational explanations account for the ‘why’ of cognition but are agnostic about the ‘how’. Their central premise is that humans do not actually perform the rational calculations posited by their models, but only act as if they do. Whether or not the problem (...)
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  29. On the Proper Domain of Psychological Predicates.Carrie Figdor - 2017 - Synthese 194 (11):4289-4310.
    One question of the bounds of cognition is that of which things have it. A scientifically relevant debate on this question must explain the persistent and selective use of psychological predicates to report findings throughout biology: for example, that neurons prefer, fruit flies and plants decide, and bacteria communicate linguistically. This paper argues that these claims should enjoy default literal interpretation. An epistemic consequence is that these findings can contribute directly to understanding the nature of psychological capacities.
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  30. The Multiple, Interacting Levels of Cognitive Systems Perspective on Group Cognition.Robert L. Goldstone & Georg Theiner - 2017 - Philosophical Psychology 30 (3):334-368.
    In approaching the question of whether groups of people can have cognitive capacities that are fundamentally different than the cognitive capacities of the individuals within the group, we lay out a Multiple, Interactive Levels of Cognitive Systems (MILCS) framework. The goal of MILCS is to explain the kinds of cognitive processes typically studied by cognitive scientists, such as perception, attention, memory, categorization, decision making, problem solving, and judgment. Rather than focusing on high-level constructs such as modules in an information processing (...)
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  31. How Could a Rational Analysis Model Explain?Samuli Reijula - 2017 - COGSCI 2017: 39th Annual Conference of the Cognitive Science Society,.
    Rational analysis is an influential but contested account of how probabilistic modeling can be used to construct non-mechanistic but self-standing explanatory models of the mind. In this paper, I disentangle and assess several possible explanatory contributions which could be attributed to rational analysis. Although existing models suffer from evidential problems that question their explanatory power, I argue that rational analysis modeling can complement mechanistic theorizing by providing models of environmental affordances.
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  32. Mechanisms in Cognitive Science.Carlos Zednik - 2017 - In Phyllis McKay Illari & Stuart Glennan (eds.), The Routledge Handbook of Mechanisms and Mechanical Philosophy. London: Routledge. pp. 389-400.
    This chapter subsumes David Marr’s levels of analysis account of explanation in cognitive science under the framework of mechanistic explanation: Answering the questions that define each one of Marr’s three levels is tantamount to describing the component parts and operations of mechanisms, as well as their organization, behavior, and environmental context. By explicating these questions and showing how they are answered in several different cognitive science research programs, this chapter resolves some of the ambiguities that remain in Marr’s account, and (...)
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  33. Rethinking Associations in Psychology.Mike Dacey - 2016 - Synthese 193 (12):3763-3786.
    I challenge the dominant understanding of what it means to say two thoughts are associated. The two views that dominate the current literature treat association as a kind of mechanism that drives sequences of thought. The first, which I call reductive associationism, treats association as a kind of neural mechanism. The second treats association as a feature of the kind of psychological mechanism associative processing. Both of these views are inadequate. I argue that association should instead be seen as a (...)
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  34. The Architecture of Mind as a Network of Networks of Natural Computational Processes.Gordana Dodig-Crnkovic - 2016 - Philosophies 1 (1):111--125.
    In discussions regarding models of cognition, the very mention of “computationalism” often incites reactions against the insufficiency of the Turing machine model, its abstractness, determinism, the lack of naturalist foundations, triviality and the absence of clarity. None of those objections, however, concerns models based on natural computation or computing nature, where the model of computation is broader than symbol manipulation or conventional models of computation. Computing nature consists of physical structures that form layered computational architecture, with computation processes ranging from (...)
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  35. Interdyscyplinarne Perspektywy Rozwoju, Integracji I Zastosowań Ontologii Poznawczych.Joanna Hastings, Gwen A. Frishkoff, Barry Smith, Mark Jensen, Russell A. Poldrack, Jane Lomax, Anita Bandrowski, Fahim Imam, Jessica A. Turner & Maryann E. Martone - 2016 - Avant: Trends in Interdisciplinary Studies 7 (3):101-117.
    We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and recommend one that is consistent with the standard view in cognitive and biomedical sciences. Challenge 2 is harmonization. Gaps and conflicts in representation must be resolved so that these resources can be combined for mark-up and interpretation of multi-modal data. Finally, Challenge (...)
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  36. Chains of Inferences and the New Paradigm in the Psychology of Reasoning.Ulf Hlobil - 2016 - Review of Philosophy and Psychology 7 (1):1-16.
    The new paradigm in the psychology of reasoning draws on Bayesian formal frameworks, and some advocates of the new paradigm think of these formal frameworks as providing a computational-level theory of rational human inference. I argue that Bayesian theories should not be seen as providing a computational-level theory of rational human inference, where by “Bayesian theories” I mean theories that claim that all rational credal states are probabilistically coherent and that rational adjustments of degrees of belief in the light of (...)
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  37. Lost Feeling of Ownership of One’s Mental States: The Importance of Situating Patient R.B.'s Pathology in the Context of Contemporary Theory and Empiricism.Stan Klein - 2016 - Philosophical Psychology 29 (4):490-493.
    In her re-analysis of the evidence presented in Klein and Nichols (2012) to support their argument that patient R.B. temporarily lost possessory custody of consciously apprehended objects (in this case, objects that normally would be non-inferentially taken as episodic memory), Professor Roache concludes Klein and Nichols's claims are untenable. I argue that Professor Roache is incorrect in her re-interpretation, and that this is due, in part, to lack of sufficient familiarity with psychological theory on memory as well as clinical literature (...)
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  38. From Human to Artificial Cognition and Back: New Perspectives on Cognitively Inspired AI Systems.Antonio Lieto & Daniele Radicioni - 2016 - Cognitive Systems Research 39 (c):1-3.
    We overview the main historical and technological elements characterising the rise, the fall and the recent renaissance of the cognitive approaches to Artificial Intelligence and provide some insights and suggestions about the future directions and challenges that, in our opinion, this discipline needs to face in the next years.
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  39. Mechanisms in Psychology: Ripping Nature at its Seams.Catherine Stinson - 2016 - Synthese 193 (5).
    Recent extensions of mechanistic explanation into psychology suggest that cognitive models are only explanatory insofar as they map neatly onto, and serve as scaffolding for more detailed neural models. Filling in those neural details is what these accounts take the integration of cognitive psychology and neuroscience to mean, and they take this process to be seamless. Critics of this view have given up on cognitive models possibly explaining mechanistically in the course of arguing for cognitive models having explanatory value independent (...)
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  40. Bayesian Reverse-Engineering Considered as a Research Strategy for Cognitive Science.Carlos Zednik & Frank Jäkel - 2016 - Synthese 193 (12):3951-3985.
    Bayesian reverse-engineering is a research strategy for developing three-level explanations of behavior and cognition. Starting from a computational-level analysis of behavior and cognition as optimal probabilistic inference, Bayesian reverse-engineers apply numerous tweaks and heuristics to formulate testable hypotheses at the algorithmic and implementational levels. In so doing, they exploit recent technological advances in Bayesian artificial intelligence, machine learning, and statistics, but also consider established principles from cognitive psychology and neuroscience. Although these tweaks and heuristics are highly pragmatic in character and (...)
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  41. 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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  42. The Innocent Eye: Why Vision Is Not a Cognitive Process By Nico Orlandi. [REVIEW]Thomas Polger - 2015 - Analysis 75 (2):343-345.
    In The Innocent Eye, Nico Orlandi argues that vision is not a cognitive process. In particular, she argues that forming subject-level visual representations that are available for reasoning should not itself be understood as a process of inference. This comes to the claim that vision (properly so-called) is a process that produces representations but is not best understood as a process that uses representations.
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  43. Realization and Multiple Realization, Chicken and Egg.Thomas W. Polger - 2015 - European Journal of Philosophy 23 (4):862-877.
    A common view is that the truth of multiple realization—e.g., about psychological states—entails the truth of functionalism. This is supposed to follow because what is multiply realized is eo ipso realized. I argue that view is mistaken by demonstrating how it misrepresents arguments from multiple realization. In particular, it undermines the empirical component of the arguments, and renders the multiplicity of the realization irrelevant. I suggest an alternative reading of multiple realizability arguments, particularly in philosophy of psychology. And I explain (...)
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  44. The Objection from Objectivity.Eva Schmidt - 2015 - In Modest Nonconceptualism. Springer Verlag.
    In this chapter, I turn to the claim that we cannot speak of perceptual content unless we assume it is objective content. The conceptualist argues that only conceptual content can meet the requirement of being objective. I start out by presenting the objection from objectivity as it can be found in McDowell (Mind and world, Harvard University Press, Cambridge, 1994a). I then discuss the following replies: First, even if objective perceptual experience requires the perceiver to have an objective world-view, the (...)
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  45. Against Explanatory Minimalism in Psychiatry.Tim Thornton - 2015 - Frontiers of Psychiatry 6.
    The idea that psychiatry contains, in principle, a series of levels of explanation has been criticised both as empirically false but also, by Campbell, as unintelligible because it presupposes a discredited pre-Humean view of causation. Campbell’s criticism is based on an interventionist-inspired denial that mechanisms and rational connections underpin physical and mental causation respectively and hence underpin levels of explanation. These claims echo some superficially similar remarks in Wittgenstein’s Zettel. But attention to the context of Wittgenstein’s remarks suggests a reason (...)
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  46. Scientific Inference and Ordinary Cognition: Fodor on Holism and Cognitive Architecture.Tim Fuller & Richard Samuels - 2014 - Mind and Language 29 (2):201-237.
    Do accounts of scientific theory formation and revision have implications for theories of everyday cognition? We maintain that failing to distinguish between importantly different types of theories of scientific inference has led to fundamental misunderstandings of the relationship between science and everyday cognition. In this article, we focus on one influential manifestation of this phenomenon which is found in Fodor's well-known critique of theories of cognitive architecture. We argue that in developing his critique, Fodor confounds a variety of distinct claims (...)
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  47. Outsourced Cognition.Mikkel Gerken - 2014 - Philosophical Issues 24 (1):127-158.
    Recent developments in technologically enabled social cognition call for a rethinking of many aspects of human cognition. According to the hypothesis of extended cognition, we must revise our psychological categories by eliminating allegedly superficial distinctions between internal cognition and external processes. As an alternative to this proposal, I outline a hypothesis of outsourced cognition which seeks to respect distinctions that are operative in both folk psychology and the social and cognitive sciences. According to this hypothesis, the cognitive states and processes (...)
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  48. Interdisciplinary Perspectives on the Development, Integration and Application of Cognitive Ontologies.Janna Hastings, Gwen Alexandra Frishkoff, Barry Smith, Mark Jensen, Russell Poldrack, Jessica Turner, Jane Lomax, Anita Bandrowski, Fahim Imam, Jessica A. Turner & Maryann E. Martone - 2014 - Frontiers in Neuroinformatics 8 (62):1-7.
    We discuss recent progress in the development of cognitive ontologies and summarize three challenges in the coordinated development and application of these resources. Challenge 1 is to adopt a standardized definition for cognitive processes. We describe three possibilities and recommend one that is consistent with the standard view in cognitive and biomedical sciences. Challenge 2 is harmonization. Gaps and conflicts in representation must be resolved so that these resources can be combined for mark-up and interpretation of multi-modal data. Finally, Challenge (...)
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  49. RUTHLESS REDUCTIONISM AND COGNITIVE SCIENCES: APPARENTLY, NOT SO RUTHLESS.Ao Ramírez - 2014 - Kinesis 6 (11):1-16.
    John Bickle recently proposed a metascientific reading of certain neuroscientific practices related to phenomena traditionally studied by psychology. According to this view, the dominant explanatory proceeding in neuroscience is to apply empirical reductions to explain psychological phenomena in cellular and molecular terms, relegating the role of psychology to a mere heuristic, without explanatory power. Thus, according to the strength of the conclusions reached by this method, it puts in check the value of psychological functional explanations. In this work, we seek (...)
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  50. The Collaborative Emergence of Group Cognition: Commentary on Paul E. Smaldino, “The Cultural Evolution of Emergent Group-Level Traits”.John Sutton - 2014 - Behavioral and Brain Sciences 37 (3):277-78.
    We extend Smaldino’s approach to collaboration and social organization in cultural evolution to include cognition. By showing how recent work on emergent group-level cognition can be incorporated within Smaldino’s framework, we extend that framework’s scope to encompass collaborative memory, decision-making, and intelligent action. We argue that beneficial effects arise only in certain forms of cognitive interdependence, in surprisingly fragile conditions.
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