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  1. added 2020-06-24
    类人猿或安卓会毁灭地球吗?*雷·库兹韦尔(2012年)关于如何创造心灵的评论 (Will Hominoids or Androids Destroy the Earth? —A Review of How to Create a Mind by Ray Kurzweil (2012)) (2019年修订版).Michael Richard Starks - 2020 - In 欢迎来到地球上的地狱: 婴儿,气候变化,比特币,卡特尔,中国,民主,多样性,养成基因,平等,黑客,人权,伊斯兰教,自由主义,繁荣,网络,混乱。饥饿,疾病,暴力,人工智能,战争. Las Vegas, NV USA: Reality Press. pp. 146-158.
    几年前,我通常可以从书名中分辨出什么,或者至少从章节标题中看出,会犯什么样的哲学错误,以及错误的频率。就名义上的科学著作而言,这些可能在很大程度上局限于某些章节,这些章节具有哲学意义或试图得出关于该作 品的意义或长期意义的一般性结论。然而,通常情况下,事实的科学问题慷慨地与哲学的胡言乱语,这些事实意味着什么。维特根斯坦在大约80年前描述的科学问题与各种语言游戏所描述的明确区别很少被考虑,因此人们交替 地被科学所震惊,并因它的不连贯而感到沮丧。分析。因此,这是与这个卷。 如果一个人要创造一个或多或少像我们一样的头脑,一个人需要有一个理性的逻辑结构,并理解两种思想体系(双过程理论)。如果一个人要对此进行哲学思考,就需要理解科学事实问题与语言如何在问题语境中工作,以及如何 避免还原主义和科学主义的陷阱的哲学问题之间的区别,但Kurzweil,如最学生的行为,基本上都是无知的。他被模型、理论和概念所陶醉,以及解释的冲动,而维特根斯坦向我们表明,我们只需要描述,理论、概念等 只是使用语言(语言游戏)的方式,只有它们有明确的价值测试(清晰的真理制造者,或约翰西尔(AI最著名的批评家)喜欢说,明确的满意条件(COS))。我试图在我最近的著作中对此作一个开端。 那些希望从现代两个系统的观点来看为人类行为建立一个全面的最新框架的人,可以查阅我的书《路德维希的哲学、心理学、Mind 和语言的逻辑结构》维特根斯坦和约翰·西尔的《第二部》(2019年)。那些对我更多的作品感兴趣的人可能会看到《会说话的猴子——一个末日星球上的哲学、心理学、科学、宗教和政治——文章和评论2006-201 9年第3次(2019年)和自杀乌托邦幻想21篇世纪4日 (2019) .
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  2. added 2020-06-19
    Book Review of "The Embodied Mind: Cognitive Science and Human Experience". [REVIEW]Anand Rangarajan - manuscript
  3. added 2020-06-03
    What Is Computational Psychology?Margaret A. Boden & D. H. Mellor - 1984 - Proceedings of the Aristotelian Society, Supplementary Volumes( 58:17-53.
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  4. added 2020-05-01
    The Nature of Symbols in the Language of Thought.Susan Schneider - 2009 - Mind and Language 24 (5):523-553.
    The core of the language of thought program is the claim that thinking is the manipulation of symbols according to rules. Yet LOT has said little about symbol natures, and existing accounts are highly controversial. This is a major flaw at the heart of the LOT program: LOT requires an account of symbol natures to naturalize intentionality, to determine whether the brain even engages in symbol manipulations, and to understand how symbols relate to lower-level neurocomputational states. This paper provides the (...)
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  5. added 2020-04-03
    Su una critica dell'intelligenza artificiale «forte». [REVIEW]G. Piccinini - 1994 - Rivista di Filosofia 85 (1):141-146.
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  6. added 2020-03-31
    Bayesian Cognitive Science, Monopoly, and Neglected Frameworks.Matteo Colombo & Stephan Hartmann - 2015 - British Journal for the Philosophy of Science 68 (2):451–484.
    A widely shared view in the cognitive sciences is that discovering and assessing explanations of cognitive phenomena whose production involves uncertainty should be done in a Bayesian framework. One assumption supporting this modelling choice is that Bayes provides the best approach for representing uncertainty. However, it is unclear that Bayes possesses special epistemic virtues over alternative modelling frameworks, since a systematic comparison has yet to be attempted. Currently, it is then premature to assert that cognitive phenomena involving uncertainty are best (...)
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  7. added 2020-03-13
    On a Cognitive Model of Semiosis.Piotr Konderak - 2015 - Studies in Logic, Grammar and Rhetoric 40 (1):129-144.
    What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened to include i.e. living systems like animals, or even plants. It is suggested in the literature on artificial intelligence that artificial agents are typical examples of symbol-processing entities. It also seems that semiotic processes are in fact cognitive processes. In consequence, it is (...)
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  8. added 2020-02-11
    Computation and Cognition: Toward a Foundation for Cognitive Science.John Haugeland - 1987 - Philosophy of Science 54 (2):309-311.
  9. added 2019-12-20
    Será que Hominoids ou Androids Destroem a Terra? — uma revisão de Como Criar Uma Mente (How to Create a Mind) por Ray Kurzweil (2012) (revisão revisada 2019).Michael Richard Starks - 2019 - In Delírios Utópicos Suicidas no Século XXI Filosofia, Natureza Humana e o Colapso da Civilization- Artigos e Comentários 2006-2019 5ª edição. Las Vegas, NV USA: Reality Press. pp. 155-167.
    Alguns anos atrás, cheguei ao ponto onde eu normalmente pode dizer a partir do título de um livro, ou pelo menos a partir dos títulos do capítulo, que tipos de erros filosóficos serão feitas e com que freqüência. No caso de obras nominalmente científicas, estas podem ser largamente restritas a certos capítulos que enceram filosóficos ou tentam tirar conclusões gerais sobre o significado ou significado a longo prazo do trabalho. Normalmente entretanto as matérias científicas do fato são misturado generosa com (...)
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  10. added 2019-12-06
    Reseña de ' Los Límites Exteriores de la Razón '(The Outer Limits of Reason) por Noson Yanofsky 403p (2013) (revision revisada 2019).Michael Richard Starks - 2019 - In Delirios Utópicos Suicidas en el Siglo 21 La filosofía, la naturaleza humana y el colapso de la civilización Artículos y reseñas 2006-2019 4a Edición. Las Vegas, NV USA: Reality Press. pp. 283-298.
    Doy una revisión detallada de ' los límites externos de la razón ' por Noson Yanofsky desde una perspectiva unificada de Wittgenstein y la psicología evolutiva. Yo indiqué que la dificultad con cuestiones como la paradoja en el lenguaje y las matemáticas, la incompletitud, la indeterminación, la computabilidad, el cerebro y el universo como ordenadores, etc., surgen de la falta de mirada cuidadosa a nuestro uso del lenguaje en el adecuado contexto y, por tanto, el Error al separar los problemas (...)
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  11. added 2019-12-04
    ¿Los hominoides o androides destruirán la tierra? — Una revisión de ‘Cómo Crear una Mente’ (How to Create a Mind) por Ray Kurzweil (2012) (revisión revisada 2019).Michael Richard Starks - 2019 - In Delirios Utópicos Suicidas en el Siglo 21 La filosofía, la naturaleza humana y el colapso de la civilización Artículos y reseñas 2006-2019 4a Edición. Las Vegas, NV USA: Reality Press. pp. 250-262.
    Hace algunos años, Llegué al punto en el que normalmente puedo decir del título de un libro, o al menos de los títulos de los capítulos, qué tipos de errores filosóficos se harán y con qué frecuencia. En el caso de trabajos nominalmente científicos, estos pueden estar en gran parte restringidos a ciertos capítulos que enceran filosóficos o tratan de sacar conclusiones generales sobre el significado o significado a largo plazo de la obra. Normalmente, sin embargo, las cuestiones científicas de (...)
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  12. added 2019-11-30
    Reseña de ‘Hacer el Mundo Social’ (‘Making the Social World’) por John Searle (2010) (revisión revisada 2019).Michael Richard Starks - 2019 - In Delirios Utópicos Suicidas en el Siglo 21 La filosofía, la naturaleza humana y el colapso de la civilización Artículos y reseñas 2006-2019 4TH Edición. Las Vegas, NV USA: Reality Press. pp. 102-123.
    Antes de comentar detalladamente sobre Haciendo lo Mundo Social (MSW) primero voy a ofrecer algunos comentarios sobre la filosofía (psicología descriptiva) y su relación con la investigación psicológica contemporánea como ejemplificado en las obras de Searle (S) y Wittgenstein (W), ya que siento que esta es la mejor manera de lugar Searle o cualquier comentarista sobre el comportamiento, en la perspectiva adecuada. Será de gran ayuda para ver mis comentarios de PNC, TLP, PI, OC, TARW y otros libros de estos (...)
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  13. added 2019-11-17
    Key Concepts: Associationism.Manfred Spitzer - 1994 - Philosophy, Psychiatry, and Psychology 1 (2):135-137.
    Associationism can be broadly defined as a school of thought in philosophy and psychology that holds that mental activity can be accounted for by processes that combine simple elements or ideas. More than a century ago, scientific psychology started taking measurements of word associations, and only a few years later, word associations became a major research tool in psychiatry. With the advent of neurobiology and the discovery of the neuron, the term association came to denote physical connections between cells or (...)
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  14. added 2019-10-14
    Bounded Rationality and Heuristics in Humans and in Artificial Cognitive Systems.Antonio Lieto - 2019 - Isonomía. Revista de Teoría y Filosofía Del Derecho 1 (4):1-21.
    In this paper I will present an analysis of the impact that the notion of “bounded rationality”, introduced by Herbert Simon in his book “Administrative Behavior”, produced in the field of Artificial Intelligence (AI). In particular, by focusing on the field of Automated Decision Making (ADM), I will show how the introduction of the cognitive dimension into the study of choice of a rational (natural) agent, indirectly determined - in the AI field - the development of a line of research (...)
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  15. added 2019-08-30
    The Phenomenon of "Virtualization" of the World in Modern Society.Nikitin Grigory & Danilova Marina - 2018 - Astra Salvensis (12):661-663.
    Post-industrial society is also defined as a "post-class" society, reflecting the breakdown of the stable social structures and identities characteristic of industrial society. If before the status of an individual in a society was determined by his place in the economic structure, that is, by the class affiliation to which all other social characteristics were subordinated, now the status characteristic of the individual is determined by a multitude of factors, among which the increasing role is played by education and the (...)
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  16. added 2019-08-23
    How to Think About Mental Content.Frances Egan - 2014 - Philosophical Studies 170 (1):115-135.
    Introduction: representationalismMost theorists of cognition endorse some version of representationalism, which I will understand as the view that the human mind is an information-using system, and that human cognitive capacities are representational capacities. Of course, notions such as ‘representation’ and ‘information-using’ are terms of art that require explication. As a first pass, representations are “mediating states of an intelligent system that carry information” (Markman and Dietrich 2001, p. 471). They have two important features: (1) they are physically realized, and so (...)
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  17. added 2019-08-17
    Bodily Processing: The Role of Morphological Computation.Przemysław Nowakowski - 2017 - Entropy 19 (7):1-17.
    The integration of embodied and computational approaches to cognition requires that non-neural body parts be described as parts of a computing system, which realizes cognitive processing. In this paper, based on research about morphological computations and the ecology of vision, I argue that nonneural body parts could be described as parts of a computational system, but they do not realize computation autonomously, only in connection with some kind of—even in the simplest form—central control system. Finally, I integrate the proposal defended (...)
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  18. added 2019-07-27
    The Physics of Implementing Logic: Landauer's Principle and the Multiple-Computations Theorem.Meir Hemmo & Orly Shenker - 2019 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 68:90-105.
    This paper makes a novel linkage between the multiple-computations theorem in philosophy of mind and Landauer’s principle in physics. The multiple-computations theorem implies that certain physical systems implement simultaneously more than one computation. Landauer’s principle implies that the physical implementation of “logically irreversible” functions is accompanied by minimal entropy increase. We show that the multiple-computations theorem is incompatible with, or at least challenges, the universal validity of Landauer’s principle. To this end we provide accounts of both ideas in terms of (...)
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  19. added 2019-06-06
    Computation and Cognitive Science: Introduction to Issue 3.Mark Sprevak - 2010 - Studies in History and Philosophy of Science Part A 41 (3):223-226.
    Nowadays, it has become almost a matter of course to say that the human mind is like a computer. Folks in all walks of life talk of ‘programming’ themselves, ‘multitasking’, running different ‘operating systems’, and sometimes of ‘crashing’ and being ‘rebooted’. Few who have used computers have not been touched by the appeal of the..
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  20. added 2019-06-06
    Computation in Cognitive Science: It is Not All About Turing-Equivalent Computation.Kenneth Aizawa - 2010 - Studies in History and Philosophy of Science Part A 41 (3):227-236.
    It is sometimes suggested that the history of computation in cognitive science is one in which the formal apparatus of Turing-equivalent computation, or effective computability, was exported from mathematical logic to ever wider areas of cognitive science and its environs. This paper, however, indicates some respects in which this suggestion is inaccurate. Computability theory has not been focused exclusively on Turing-equivalent computation. Many essential features of Turing-equivalent computation are not captured in definitions of computation as symbol manipulation. Turing-equivalent computation did (...)
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  21. added 2019-06-06
    Matthias Scheutz, Computationalism New Directions.Itiel E. Dror & Ailsa E. Péron - 2004 - Pragmatics and Cognition 12 (2):404-409.
  22. added 2019-06-06
    Doron Swade, the Cogwheel Brain: Charles Babbage and the Quest to Build the First Computer. London: Little, Brown and Company, 2000. Pp. X+342. Isbn 0-316-64847-7. £14.99. [REVIEW]Mary Croarken - 2004 - British Journal for the History of Science 37 (3):351-352.
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  23. added 2019-06-06
    Symbols, Computation, and Intentionality: A Critique of the Computational Theory of Mind. [REVIEW]Rob Wilson & Steven W. Horst - 1998 - Philosophical Review 107 (1):120.
    This book offers a sustained critique of the computational theory of mind that deserves the attention of those interested in the presuppositions and implications of computational psychology. Horst begins by laying out the theory, reconstructing its perceived role in vindicating intentional psychology, and recounting earlier critiques on which he builds. Part 2, the heart of the book, analyzes a notion central to CTM—that of a symbol—arguing that symbols are conventional. In Part 3 Horst applies the results of this analysis to (...)
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  24. added 2019-06-06
    Review of The Computational Brain by Patricia S. Churchland and Terrence J. Sejnowski. [REVIEW]Brian P. McLaughlin - 1996 - Philosophy of Science 63 (1):137-139.
  25. added 2019-06-06
    Computation and Cognition: Toward a Foundation for Cognitive Science.Epistemology and Cognition.Zenon W. Pylyshyn & Alvin T. Goldman - 1988 - Philosophical Quarterly 38 (153):526-532.
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  26. added 2019-06-06
    Computation and Cognition: Toward a Foundation for Cognitive Science. [REVIEW]Robert Cummins - 1988 - Canadian Journal of Philosophy 18 (1):147-162.
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  27. added 2019-04-15
    Del hombre-máquina a la máquina-hombre: materialismo, mecanicismo y transhumanismo.Martín López Corredoira - 2019 - Naturaleza y Libertad. Revista de Estudios Interdisciplinares 12:179-190.
    El materialismo de la Edad Moderna nos describe al hombre como una máquina, comparable a un complejo artilugio mecánico. Cabe entonces imaginar que una máquina no-biológica pueda constituir un ser pensante como lo son los seres humanos, e incluso cabría pensar en la posibilidad de codificación de una mente humana real para su posterior trasvase a un sustrato artificial. Considero que estas últimas posiciones son más propias de la cultura friki o de amantes de la ciencia ficción que de una (...)
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  28. added 2019-03-18
    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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  29. added 2019-02-01
    The Mind as Neural Software? Understanding Functionalism, Computationalism, and Computational Functionalism.Gualtiero Piccinini - 2010 - Philosophy and Phenomenological Research 81 (2):269-311.
    Defending or attacking either functionalism or computationalism requires clarity on what they amount to and what evidence counts for or against them. My goalhere is not to evaluatc their plausibility. My goal is to formulate them and their relationship clearly enough that we can determine which type of evidence is relevant to them. I aim to dispel some sources of confusion that surround functionalism and computationalism. recruit recent philosophical work on mechanisms and computation to shed light on them, and clarify (...)
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  30. added 2019-01-30
    Intellectualism and the Argument From Cognitive Science.Arieh Schwartz & Zoe Drayson - 2019 - Philosophical Psychology 32 (5):662-692.
    Intellectualism is the claim that practical knowledge or ‘know-how’ is a kind of propositional knowledge. The debate over Intellectualism has appealed to two different kinds of evidence, semantic and scientific. This paper concerns the relationship between Intellectualist arguments based on truth-conditional semantics of practical knowledge ascriptions, and anti-Intellectualist arguments based on cognitive science and propositional representation. The first half of the paper argues that the anti-Intellectualist argument from cognitive science rests on a naturalistic approach to metaphysics: its proponents assume that (...)
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  31. added 2019-01-17
    Semantic and Pragmatic Integration in Vision for Action.Silvano Zipoli Caiani & Gabriele Ferretti - 2017 - Consciousness and Cognition 48:40-54.
    According to an influential view, the detection of action possibilities and the selection of a plan for action are two segregated steps throughout the processing of visual information. This classical approach is committed with the assumption that two independent types of processing underlie visual perception: the semantic one, which is at the service of the identification of visually presented objects, and the pragmatic one which serves the execution of actions directed to specific parts of the same objects. However, as our (...)
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  32. added 2019-01-10
    When Will Computer Hardware Match the Human Brain?Hans Moravec - 1998 - Journal of Evolution and Technology 1 (1):10.
    Computers have far to go to match human strengths, and our estimates will depend on analogy and extrapolation. Fortunately, these are grounded in the first bit of the journey, now behind us. Thirty years of computer vision reveals that 1 MIPS can extract simple features from real-time imagery--tracking a white line or a white spot on a mottled background. 10 MIPS can follow complex gray-scale patches--as smart bombs, cruise missiles and early self-driving vans attest. 100 MIPS can follow moderately unpredictable (...)
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  33. added 2019-01-07
    Making Too Many Enemies: Hutto and Myin’s Attack on Computationalism.Jesse Kuokkanen & Anna-Mari Rusanen - 2018 - Philosophical Explorations 21 (2):282-294.
    We analyse Hutto & Myin's three arguments against computationalism [Hutto, D., E. Myin, A. Peeters, and F. Zahnoun. Forthcoming. “The Cognitive Basis of Computation: Putting Computation In Its Place.” In The Routledge Handbook of the Computational Mind, edited by M. Sprevak, and M. Colombo. London: Routledge.; Hutto, D., and E. Myin. 2012. Radicalizing Enactivism: Basic Minds Without Content. Cambridge, MA: MIT Press; Hutto, D., and E. Myin. 2017. Evolving Enactivism: Basic Minds Meet Content. Cambridge, MA: MIT Press]. The Hard Problem (...)
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  34. added 2019-01-05
    Replicability or Reproducibility? On the Replication Crisis in Computational Neuroscience and Sharing Only Relevant Detail.Marcin Miłkowski, Witold M. Hensel & Mateusz Hohol - 2018 - Journal of Computational Neuroscience 3 (45):163-172.
    Replicability and reproducibility of computational models has been somewhat understudied by “the replication movement.” In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and model reproductions in computational neuroscience. We contend that model replicability, or independent researchers' ability to obtain the same output using original code and data, and model reproducibility, or independent researchers' ability to recreate a model without original code, (...)
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  35. added 2019-01-05
    Objections to Computationalism: A Survey.Marcin Miłkowski - 2018 - Roczniki Filozoficzne 66 (3):57-75.
    In this paper, the Author reviewed the typical objections against the claim that brains are computers, or, to be more precise, information-processing mechanisms. By showing that practically all the popular objections are based on uncharitable interpretations of the claim, he argues that the claim is likely to be true, relevant to contemporary cognitive science, and non-trivial.
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  36. added 2019-01-05
    From Computer Metaphor to Computational Modeling: The Evolution of Computationalism.Marcin Miłkowski - 2018 - Minds and Machines 28 (3):515-541.
    In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...)
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  37. added 2018-10-28
    Representation Re-Construed: Construal-Based Norms for Ascribing Natural Representations.Akagi Mikio - manuscript
    Many philosophers worry that cognitive scientists apply the concept REPRESENTATION too liberally. For example, William Ramsey argues that scientists often ascribe natural representations according to the “receptor notion,” a causal account with absurd consequences. I rehabilitate the receptor notion by augmenting it with a background condition: that natural representations are ascribed only to systems construed as organisms. This Organism-Receptor account rationalizes our existing conceptual practice, including the fact that scientists in fact reject Ramsey’s absurd consequences. The Organism-Receptor account raises some (...)
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  38. added 2018-10-04
    The Cognitive Basis of Computation: Putting Computation in Its Place.Daniel D. Hutto, Erik Myin, Anco Peeters & Farid Zahnoun - 2018 - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. London: Routledge. pp. 272-282.
    The mainstream view in cognitive science is that computation lies at the basis of and explains cognition. Our analysis reveals that there is no compelling evidence or argument for thinking that brains compute. It makes the case for inverting the explanatory order proposed by the computational basis of cognition thesis. We give reasons to reverse the polarity of standard thinking on this topic, and ask how it is possible that computation, natural and artificial, might be based on cognition and not (...)
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  39. added 2018-09-13
    Sense and Proof.Carlo Penco & Daniele Porello - 2010 - In M. D'agostino, G. Giorello, F. Laudisa, T. Pievani & C. Sinigaglia (eds.), New Essays in Logic and Philosophy of Science,. College Publicationss.
    In this paper we give some formal examples of ideas developed by Penco in two papers on the tension inside Frege's notion of sense (see Penco 2003). The paper attempts to compose the tension between semantic and cognitive aspects of sense, through the idea of sense as proof or procedure – not as an alternative to the idea of sense as truth condition, but as complementary to it (as it happens sometimes in the old tradition of procedural semantics).
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  40. added 2018-08-20
    The Swapping Constraint.Henry Schiller - 2018 - Minds and Machines 28 (3):605-622.
    Triviality arguments against the computational theory of mind claim that computational implementation is trivial and thus does not serve as an adequate metaphysical basis for mental states. It is common to take computational implementation to consist in a mapping from physical states to abstract computational states. In this paper, I propose a novel constraint on the kinds of physical states that can implement computational states, which helps to specify what it is for two physical states to non-trivially implement the same (...)
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  41. added 2018-06-29
    Heterogeneous Proxytypes Extended: Integrating Theory-Like Representations and Mechanisms with Prototypes and Exemplars.Antonio Lieto - 2018 - In Advances in Intelligent Systems and Computing: Proceedings of BICA. Springer.
    The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how to reconcile, under a heterogeneous representational perspective, different theories of typicality about conceptual representation and reasoning. In particular, it provides a novel theoretical hypothesis - as well as a novel categorization algorithm called DELTA - showing how to integrate the representational and reasoning assumptions of the theory-theory (...)
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  42. added 2018-06-14
    Associationist Theories of Thought.Eric Mandelbaum - 2015 - Stanford Encyclopedia of Philosophy.
  43. added 2018-06-09
    In the Interest of Saving Time: A Critique of Discrete Perception.Tomer Fekete, Sander Van de Cruys, Vebjørn Ekroll & Cees van Leeuwen - 2018 - Neuroscience of Consciousness 2018 (1):1-8.
    A recently proposed model of sensory processing suggests that perceptual experience is updated in discrete steps. We show that the data advanced to support discrete perception are in fact compatible with a continuous account of perception. Physiological and psychophysical constraints, moreover, as well as our awake-primate imaging data, imply that human neuronal networks cannot support discrete updates of perceptual content at the maximal update rates consistent with phenomenology. A more comprehensive approach to understanding the physiology of perception (and experience at (...)
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  44. added 2018-06-08
    The Incoherence of Heuristically Explaining Coherence.Iris van Rooij & Cory Wright - 2006 - In Ron Sun (ed.), Proceedings of the 28th Annual Conference of the Cognitive Science Society. Mahwah, NJ 07430, USA: pp. 2622.
    Advancement in cognitive science depends, in part, on doing some occasional ‘theoretical housekeeping’. We highlight some conceptual confusions lurking in an important attempt at explaining the human capacity for rational or coherent thought: Thagard & Verbeurgt’s computational-level model of humans’ capacity for making reasonable and truth-conducive abductive inferences (1998; Thagard, 2000). Thagard & Verbeurgt’s model assumes that humans make such inferences by computing a coherence function (f_coh), which takes as input representation networks and their pair-wise constraints and gives as output (...)
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  45. added 2018-06-07
    A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture.David Pierre Leibovitz - 2013 - Dissertation, Carleton University
    The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise (...)
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  46. added 2018-05-27
    Syntax, Functionalism, Connectionism, and the Language of Thought.Murat Mustafa Aydede - 1993 - Dissertation, University of Maryland, College Park
    Fodor and Pylyshyn's critique of connectionism has posed a challenge to connectionists: Explain such cognitive regularities as systematicity and productivity without postulating a LOT architecture. Some connectionists took the challenge seriously. They developed some models that purport to show that they can explain the regularities without becoming classical. The key to their claim is that their models can and do provide non-concatenatively realized syntactically complex representations that can also be processed in a structure sensitive way. Surprisingly, Fodor and McLaughlin seem (...)
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  47. added 2018-05-21
    Računala, mozak i ljudski um.Nenad Miščević & Nenad Smokrović (eds.) - 2001 - Rijeka: Izdavački centar Rijeka.
  48. added 2018-02-17
    Mental States as Generalizations From Experience: A Neuro-Computational Hypothesis.Marco Mazzone - 2014 - Philosophical Explorations 17 (2):223-240.
    The opposition between behaviour- and mind-reading accounts of data on infants and non-human primates could be less dramatic than has been thought up to now. In this paper, I argue for this thesis by analysing a possible neuro-computational explanation of early mind-reading, based on a mechanism of associative generalization which is apt to implement the notion of mental states as intervening variables proposed by Andrew Whiten. This account allows capturing important continuities between behaviour-reading and mind-reading, insofar as both are supposed (...)
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  49. added 2018-02-17
    Structural Description and Qualitative Content in Perception Theory.Johannes Andres & Rainer Mausfeld - 2008 - Consciousness and Cognition 17 (1):307-311.
    The paper is a critical comment on D. Hoffman. The Scrambling Theorem: A simple proof of the logical possibility of spectrum inversion. Consciousness and Cognition, 2006, 15, 31–45.
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  50. added 2018-02-16
    Computation Vs. Information Processing: Why Their Difference Matters to Cognitive Science.Gualtiero Piccinini & Andrea Scarantino - 2010 - Studies in History and Philosophy of Science Part A 41 (3):237-246.
    Since the cognitive revolution, it has become commonplace that cognition involves both computation and information processing. Is this one claim or two? Is computation the same as information processing? The two terms are often used interchangeably, but this usage masks important differences. In this paper, we distinguish information processing from computation and examine some of their mutual relations, shedding light on the role each can play in a theory of cognition. We recommend that theorists of cognition be explicit and careful (...)
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