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  1. Review of Mitchell, Melanie. Artificial Intelligence: A guide for thinking humans. New York: Macmillan, 2019. [REVIEW]Eros Moreira de Carvalho - 2023 - Principia: An International Journal of Epistemology 27 (3):609-623.
    Review of Mitchell, Melanie. Artificial Intelligence: A guide for thinking humans. New York: Macmillan, 2019.
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  • Computers Are Syntax All the Way Down: Reply to Bozşahin.William J. Rapaport - 2019 - Minds and Machines 29 (2):227-237.
    A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.
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  • Naturalism, Quietism, and the Threat to Philosophy.Thomas J. Spiegel - 2021 - Basel: Schwabe Verlagsgruppe.
    Two opposed movements of thought threaten philosophy as an autonomous practice from the inside: scientific naturalism and quietism. Naturalism (qua methodological thesis) threatens to turn philosophy into a mere ancilla of the sciences, quietism understood as the prescription to remain silent in philosophy would not countenance any more "positive" philosophy. This book reconstructs naturalism and quietism such that it becomes clear naturalism does have the potential to end philosophy as an autonomous practice and that quietism, correctly understood, does not. To (...)
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  • CRITIQUE OF IMPURE REASON: Horizons of Possibility and Meaning.Steven James Bartlett - 2021 - Salem, USA: Studies in Theory and Behavior.
    PLEASE NOTE: This is the corrected 2nd eBook edition, 2021. ●●●●● _Critique of Impure Reason_ has now also been published in a printed edition. To reduce the otherwise high price of this scholarly, technical book of nearly 900 pages and make it more widely available beyond university libraries to individual readers, the non-profit publisher and the author have agreed to issue the printed edition at cost. ●●●●● The printed edition was released on September 1, 2021 and is now available through (...)
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  • The nature of concepts.Denny E. Bradshaw - 1992 - Philosophical Papers 21 (1):1-20.
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  • C. S. Peirce and Intersemiotic Translation.Joao Queiroz & Daniella Aguiar - 2015 - In Peter Pericles Trifonas (ed.), International Handbook of Semiotics. Dordrecht: Springer. pp. 201-215.
    Intersemiotic translation (IT) was defined by Roman Jakobson (The Translation Studies Reader, Routledge, London, p. 114, 2000) as “transmutation of signs”—“an interpretation of verbal signs by means of signs of nonverbal sign systems.” Despite its theoretical relevance, and in spite of the frequency in which it is practiced, the phenomenon remains virtually unexplored in terms of conceptual modeling, especially from a semiotic perspective. Our approach is based on two premises: (i) IT is fundamentally a semiotic operation process (semiosis) and (ii) (...)
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  • Philosophy of the Internet. A Discourse on the Nature of the Internet.Laszlo Ropolyi - 2013 - Budapest: Eötvös University.
  • Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
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  • Minds beyond brains and algorithms.Jan M. Zytkow - 1990 - Behavioral and Brain Sciences 13 (4):691-692.
  • Functional architectures for cognition: are simple inferences possible?Steven W. Zucker - 1980 - Behavioral and Brain Sciences 3 (1):153-154.
  • The Phenomenology of Problem Solving.Jeffrey Yoshimi - 2017 - Grazer Philosophische Studien 94 (3):391-409.
    _ Source: _Volume 94, Issue 3, pp 391 - 409 The author outlines a provisional phenomenology of problem solving. He begins by reviewing the history of problem-solving psychology, focusing on the Gestalt approach, which emphasizes the influence of prior knowledge and the occurrence of sudden insights. He then describes problem solving as a process unfolding in a field of consciousness against a background of unconscious knowledge, which encodes action patterns, schemata, and affordances. A global feeling of wrongness or tension is (...)
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  • A developmental pattern of artificial intelligence based on the blend of man and machine.Gong Yingfu - 1988 - AI and Society 2 (4):356-360.
  • Rule following: A pedestrian approach.Masahiro Yamada - 2010 - Philosophy and Phenomenological Research 80 (2):283-311.
  • What Sort of Taxonomy of Causation Do We Need for Language Understanding?Yorick Wilks - 1977 - Cognitive Science 1 (3):235-264.
    A proposal is made concerning the introduction of the notions of cause and reason into a natural language understanding system. Its hypothesis is that one should prefer rational explanations of actions when dealing with human, or human‐like, agents, if one can find them in what one is analyzing, but that in other, nonhuman, cases one should prefer causal explanations. The reader is reminded of the existing state of the preference semantics system, and then are described the changes that would have (...)
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  • Leibniz, location, and distinguishing types of sensation.Yorick Wilks - 1978 - Behavioral and Brain Sciences 1 (3):369-369.
  • Is consciousness important?Kathleen V. Wilkes - 1984 - British Journal for the Philosophy of Science 35 (September):223-43.
    The paper discusses the utility of the notion of consciousness for the behavioural and brain sciences. It describes four distinctively different senses of 'conscious', and argues that to cope with the heterogeneous phenomena loosely indicated thereby, these sciences not only do not but should not discuss them in terms of 'consciousness'. It is thus suggested that 'the problem' allegedly posed to scientists by consciousness is unreal; one need neither adopt a realist stance with respect to it, nor include the term (...)
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  • Form and content in semantics.Y. Wilks - 1990 - Synthese 82 (3):329-51.
    This paper continues a strain of intellectual complaint against the presumptions of certain kinds of formal semantics (the qualification is important) and their bad effects on those areas of artificial intelligence concerned with machine understanding of human language. After some discussion of the use of the term epistemology in artificial intelligence, the paper takes as a case study the various positions held by McDermott on these issues and concludes, reluctantly, that, although he has reversed himself on the issue, there was (...)
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  • Computability, consciousness, and algorithms.Robert Wilensky - 1990 - Behavioral and Brain Sciences 13 (4):690-691.
  • W(h)ither expert systems? — A view from outside.Ian White - 1988 - AI and Society 2 (2):161-171.
    The paper questions the expert system paradigm, both in terms of its range of application, and as a significant contribution to the understanding of artificial intelligence. The viewpoint is that of the systems designer who must judge the applicability of these methods in imminent and future systems. The expert system paradigm, (ESP for short), is criticised not because it is ubiquitously wrong, but because its range of application appears to be very limited, and much promise is made of its application (...)
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  • Science Friction: Phenomenology, Naturalism and Cognitive Science.Michael Wheeler - 2013 - Royal Institute of Philosophy Supplement 72:135-167.
    Recent years have seen growing evidence of a fruitful engagement between phenomenology and cognitive science. This paper confronts an in-principle problem that stands in the way of this intellectual coalition, namely the fact that a tension exists between the transcendentalism that characterizes phenomenology and the naturalism that accompanies cognitive science. After articulating the general shape of this tension, I respond as follows. First, I argue that, if we view things through a kind of neo-McDowellian lens, we can open up a (...)
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  • Cognition as self–organizing process.Gerhard Werner - 1987 - Behavioral and Brain Sciences 10 (2):183-183.
  • Cognition is not computation, for the reasons that computers don't solve the mind-body problems.Walter B. Weimer - 1980 - Behavioral and Brain Sciences 3 (1):152-153.
  • Safe/moral autopoiesis and consciousness.Mark R. Waser - 2013 - International Journal of Machine Consciousness 5 (1):59-74.
  • Penrose's grand unified mystery.David Waltz & James Pustejovsky - 1990 - Behavioral and Brain Sciences 13 (4):688-690.
  • Between Turing and quantum mechanics there is body to be found.Francisco J. Varela - 1990 - Behavioral and Brain Sciences 13 (4):687-688.
  • Interview with Daniel Dennett conducted by bill Uzgalis in␣boston, massachusetts on december 29, 2004.Bill Uzgalis - 2006 - Minds and Machines 16 (1):7-19.
    A taped conversational interview with Daniel Dennett and Bill Uzgalis covers a wide range of topics arising from Dennett’s thoughts about computing and human beings. The background of Dennett’s work is explored as are his views about mind-brain identity theory, artificial intelligence, functionalism, human exceptionalism, animal culture, language, pain, freedom and determinism, and quality of life.
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  • Exactly which emperor is Penrose talking about?John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (4):686-687.
  • Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.
  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
  • Balancing acts: Rational agency and efficacious action.Mary Tiles - 1999 - International Studies in the Philosophy of Science 13 (3):289 – 300.
    In this paper I try to problematize our conception of rational agency and to suggest that this conception is a matter of some practical and political significance. This is done on the one hand by indicating why more attention should be paid to the role of practical know-how, or skill, in the application of general laws or principles to particular cases, and on the other by looking to a Chinese model of efficacious action, where much attention is paid to cultivating (...)
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  • L'homme machine.Manfred Tietzel - 1984 - Zeitschrift Für Allgemeine Wissenschaftstheorie 15 (1):34-71.
    Summary The idea of man imitating by his own inventions capacities, considered genuinely human, like talking, making music or thinking, has fascinated man's phantasy at all times.
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  • Representation Recovers Information.Chris Thornton - 2009 - Cognitive Science 33 (8):1383-1412.
    Early agreement within cognitive science on the topic of representation has now given way to a combination of positions. Some question the significance of representation in cognition. Others continue to argue in favor, but the case has not been demonstrated in any formal way. The present paper sets out a framework in which the value of representation use can be mathematically measured, albeit in a broadly sensory context rather than a specifically cognitive one. Key to the approach is the use (...)
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  • Chaos can be overplayed.René Thom - 1987 - Behavioral and Brain Sciences 10 (2):182-183.
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  • What is the algorithmic level?M. M. Taylor & R. A. Pigeau - 1987 - Behavioral and Brain Sciences 10 (3):495-496.
  • The thinker dreams of being an emperor.M. M. Taylor - 1990 - Behavioral and Brain Sciences 13 (4):685-686.
  • Toward a Physical Theory of Quantum Cognition.Taiki Takahashi - 2014 - Topics in Cognitive Science 6 (1):104-107.
    Recently, mathematical models based on quantum formalism have been developed in cognitive science. The target articles in this special issue of Topics in Cognitive Science clearly illustrate how quantum theoretical formalism can account for various aspects of human judgment and decision making in a quantitatively and mathematically rigorous manner. In this commentary, we show how future studies in quantum cognition and decision making should be developed to establish theoretical foundations based on physical theory, by introducing Taketani's three-stage theory of the (...)
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  • How do we best educate philosophical counselors? Some experiences and reflections from the Norwegian educational program.Helge Svare - 2006 - Philosophical Practice: Journal of the American Philosophical Practitioners Association 2 (1):29-39.
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  • Redefining Humanity in the Era of AI – Technical Civilization.Shoko Suzuki - 2020 - Paragrana: Internationale Zeitschrift für Historische Anthropologie 29 (1):83-93.
    The human environment is currently undergoing massive change amid the rapid adoption of information and communications technology (ICT). ICT can be characterized as offering an opportunity to consider the nature of humanity, create new values, and foster new cultures. As humans, the question that technical innovation relating to Artificial Intelligence (AI) and Robots thrusts before us is, “What is a human?” What exactly are the things that AI will never be able to do, no matter how close it gets to (...)
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  • Conscious machines: Memory, melody and muscular imagination. [REVIEW]Susan A. J. Stuart - 2010 - Phenomenology and the Cognitive Sciences 9 (1):37-51.
    A great deal of effort has been, and continues to be, devoted to developing consciousness artificially (A small selection of the many authors writing in this area includes: Cotterill (J Conscious Stud 2:290–311, 1995 , 1998 ), Haikonen ( 2003 ), Aleksander and Dunmall (J Conscious Stud 10:7–18, 2003 ), Sloman ( 2004 , 2005 ), Aleksander ( 2005 ), Holland and Knight ( 2006 ), and Chella and Manzotti ( 2007 )), and yet a similar amount of effort has (...)
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  • Aesthetics and cognitive science.Dustin Stokes - 2009 - Philosophy Compass 4 (5):715-733.
    Experiences of art involve exercise of ordinary cognitive and perceptual capacities but in unique ways. These two features of experiences of art imply the mutual importance of aesthetics and cognitive science. Cognitive science provides empirical and theoretical analysis of the relevant cognitive capacities. Aesthetics thus does well to incorporate cognitive scientific research. Aesthetics also offers philosophical analysis of the uniqueness of the experience of art. Thus, cognitive science does well to incorporate the explanations of aesthetics. This paper explores this general (...)
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  • Computation without representation.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):152-152.
  • Improvisación para mejorar: La importancia de la filosofía en la universidad.Kevin Stevenson - 2021 - Investigaciones Fenomenológicas 13:193.
    El estatus de la filosofía nunca llega a ser completamente comprendido debido, en parte, a su inutilidad. En un mundo enfocado hacia las metas, filosofar no sirve si no produce resultados materialistas. Un aspecto del pensamiento filosófico es promover actividades que son exclusivamente humanas y por lo tanto imposibles de simular por una inteligencia artificial. La improvisación es capaz de revelar la importancia de la filosofía manteniendo la relevancia de la subjetividad. Con el fin de justificar la presencia de la (...)
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  • Applying Marr to memory.Keith Stenning - 1987 - Behavioral and Brain Sciences 10 (3):494-495.
  • Interactive instructional systems and models of human problem solving.Edward P. Stabler - 1987 - Behavioral and Brain Sciences 10 (3):493-494.
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  • And then a miracle happens….Keith E. Stanovich - 1990 - Behavioral and Brain Sciences 13 (4):684-685.
  • Computation and symbolization.William E. Smythe - 1980 - Behavioral and Brain Sciences 3 (1):151-152.
  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
  • The pretender's new clothes.Tim Smithers - 1990 - Behavioral and Brain Sciences 13 (4):683-684.
  • Man not a subject for science?Peter Slezak - 1990 - Social Epistemology 4 (4):327 – 342.
  • Physiology: Is there any other game in town?Christine A. Skarda & Walter J. Freeman - 1987 - Behavioral and Brain Sciences 10 (2):183-195.
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