Results for 'Computational Sculpture'

973 found
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  1.  13
    About Religion: Economies of Faith in Virtual Culture.Mark C. Taylor - 1999 - University of Chicago Press.
    "Religion," Mark C. Taylor maintains, "is most interesting where it is least obvious." From global financial networks to the casinos of Las Vegas, from images flickering on computer terminals to steel sculpture, material culture bears unexpected traces of the divine. In a world where the economies of faith are obscure, yet pervasive, Taylor shows that approaching religion directly is less instructive than thinking about it. Traveling from high culture to pop culture and back again, About Religion approaches cyberspace and (...)
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  2.  52
    The threshold of the self.Bradford Vivian - 2000 - Philosophy and Rhetoric 33 (4):303-318.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy and Rhetoric 33.4 (2000) 303-318 [Access article in PDF] The Threshold of the Self Bradford Vivian The subject has a history. Classical Greek sculpture expressed a fascination with the formal beauty of one's self. Ever gazing outward or upward, the marble figures symbolized the Greek preoccupation with a boldness of being, a constant focus on the ideals of the body and mind, which, through their pursuit, might (...)
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  3. Driftwood.Bronwyn Lay - 2013 - Continent 3 (2):22-27.
    This piece, included in the drift special issue of continent. , was created as one step in a thread of inquiry. While each of the contributions to drift stand on their own, the project was an attempt to follow a line of theoretical inquiry as it passed through time and the postal service(s) from October 2012 until May 2013. This issue hosts two threads: between space & place and between intention & attention . The editors recommend that to experience the (...)
     
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  4. Object-Oriented France: The Philosophy of Tristan Garcia.Graham Harman - 2012 - Continent 2 (1):6-21.
    continent. 2.1 (2012): 6–21. The French philosopher and novelist Tristan Garcia was born in Toulouse in 1981. This makes him rather young to have written such an imaginative work of systematic philosophy as Forme et objet , 1 the latest entry in the MétaphysiqueS series at Presses universitaires de France. But this reference to Garcia’s youthfulness is not a form of condescension: by publishing a complete system of philosophy in the grand style, he has already done what none of us (...)
     
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  5.  39
    Sculpture in the first century..Hellenistic Sculpture Iii - 2004 - The Classical Review 54 (1).
  6. Facs facs facs facs facs facs stimulus.Animal Car Sculpture & Face Animal Car Sculpture - 2010 - In Stephen José Hanson & Martin Bunzl (eds.), Foundational Issues in Human Brain Mapping. Bradford.
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  7. Randomness and Recursive Enumerability.Siam J. Comput - unknown
    One recursively enumerable real α dominates another one β if there are nondecreasing recursive sequences of rational numbers (a[n] : n ∈ ω) approximating α and (b[n] : n ∈ ω) approximating β and a positive constant C such that for all n, C(α − a[n]) ≥ (β − b[n]). See [R. M. Solovay, Draft of a Paper (or Series of Papers) on Chaitin’s Work, manuscript, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, 1974, p. 215] and [G. J. (...)
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  8.  10
    Computer Science Logic: 11th International Workshop, CSL'97, Annual Conference of the EACSL, Aarhus, Denmark, August 23-29, 1997, Selected Papers.M. Nielsen, Wolfgang Thomas & European Association for Computer Science Logic - 1998 - Springer Verlag.
    This book constitutes the strictly refereed post-workshop proceedings of the 11th International Workshop on Computer Science Logic, CSL '97, held as the 1997 Annual Conference of the European Association on Computer Science Logic, EACSL, in Aarhus, Denmark, in August 1997. The volume presents 26 revised full papers selected after two rounds of refereeing from initially 92 submissions; also included are four invited papers. The book addresses all current aspects of computer science logics and its applications and thus presents the state (...)
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  9. The fortieth annual lecture series 1999-2000.Brain Computations & an Inevitable Conflict - 2000 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 31:199-200.
  10.  29
    Computational Philosophy of Science.Paul Thagard - 1988 - MIT Press.
    By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate (...)
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  11. Computational neural modeling and the philosophy of ethics: Reflections on the particularism-generalism debate.Marcello Guarini - 2011 - In Michael Anderson & Susan Leigh Anderson (eds.), Machine Ethics. Cambridge Univ. Press.
  12.  29
    Computational models of semantic memory.T. Rogers - 2008 - In Ron Sun (ed.), The Cambridge handbook of computational psychology. New York: Cambridge University Press. pp. 226--266.
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  13. (1 other version)Language and mentality: Computational, representational, and dispositional conceptions.James H. Fetzer - 1989 - Behaviorism 17 (1):21-39.
    The purpose of this paper is to explore three alternative frameworks for understanding the nature of language and mentality, which accent syntactical, semantical, and pragmatical aspects of the phenomena with which they are concerned, respectively. Although the computational conception currently exerts considerable appeal, its defensibility appears to hinge upon an extremely implausible theory of the relation of form to content. Similarly, while the representational approach has much to recommend it, its range is essentially restricted to those units of language (...)
     
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  14. Extending Ourselves: Computational Science, Empiricism, and Scientific Method.Paul Humphreys - 2004 - New York, US: Oxford University Press.
    Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access (...)
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  15. Computational model of Font-consistency and change effects on letter identification.T. Sanocki - 1989 - Bulletin of the Psychonomic Society 27 (6):523-523.
     
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  16.  34
    Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293 (C):103449.
  17.  21
    Computational insights into human perceptual expertise for familiar and unfamiliar face recognition.Nicholas M. Blauch, Marlene Behrmann & David C. Plaut - 2021 - Cognition 208 (C):104341.
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  18.  34
    Computational research on interaction and agency.Philip E. Agre - 1995 - Artificial Intelligence 72 (1-2):1-52.
  19.  72
    A computational study of cross-situational techniques for learning word-to-meaning mappings.Jeffrey Mark Siskind - 1996 - Cognition 61 (1-2):39-91.
  20. The computational and the representational language-of-thought hypotheses.David J. Chalmers - 2023 - Behavioral and Brain Sciences 46:e269.
    There are two versions of the language-of-thought hypothesis (LOT): Representational LOT (roughly, structured representation), introduced by Ockham, and computational LOT (roughly, symbolic computation) introduced by Fodor. Like many others, I oppose the latter but not the former. Quilty-Dunn et al. defend representational LOT, but they do not defend the strong computational LOT thesis central to the classical-connectionist debate.
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  21. A computational model of the perceived velocity of moving plaids.I. Lamouret, V. Cornilleau-Pérès & J. Droulez - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview Pub. Co. pp. 31-31.
     
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  22. A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents.Wendell Wallach, Stan Franklin & Colin Allen - 2010 - Topics in Cognitive Science 2 (3):454-485.
    Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks (...)
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  23.  53
    Dynamic Imagery: A Computational Model of Motion and Visual Analogy.David Croft & Paul Thagard - unknown
    This paper describes DIVA (Dynamic Imagery for Visual Analogy), a computational model of visual imagery based on the scene graph, a powerful representational structure widely used in computer graphics. Scene graphs make possible the visual display of complex objects, including the motions of individual objects. Our model combines a semantic-network memory system with computational procedures based on scene graphs. The model can account for people’s ability to produce visual images of moving objects, in particular the ability to use (...)
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  24. Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind.Iris Oved, Nikhil Krishnaswamy, James Pustejovsky & Joshua Hartshorne - 2024 - In Larissa Samuelson, Stefan Frank, Mariya Toneva, Allyson Mackey & Eliot Hazeltine (eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society. pp. 601-609.
    We offer philosophical motivations for a method we call Virtual World Cognitive Science (VW CogSci), in which researchers use virtual embodied agents that are embedded in virtual worlds to explore questions in the field of Cognitive Science. We focus on questions about mental and linguistic representation and the ways that such computational modeling can add rigor to philosophical thought experiments, as well as the terminology used in the scientific study of such representations. We find that this method forces researchers (...)
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  25.  85
    Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization.Richard L. Lewis, Andrew Howes & Satinder Singh - 2014 - Topics in Cognitive Science 6 (2):279-311.
    We propose a framework for including information‐processing bounds in rational analyses. It is an application of bounded optimality (Russell & Subramanian, 1995) to the challenges of developing theories of mechanism and behavior. The framework is based on the idea that behaviors are generated by cognitive mechanisms that are adapted to the structure of not only the environment but also the mind and brain itself. We call the framework computational rationality to emphasize the incorporation of computational mechanism into the (...)
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  26.  51
    How Computational Tools Can Help Rhetoric and Informal Logic with Argument Invention.Douglas Walton & Thomas F. Gordon - 2019 - Argumentation 33 (2):269-295.
    This paper compares the features and methods of the two leading implemented systems that offer a tool for helping a user to find or invent arguments to support or attack a designated conclusion, the Carneades Argumentation System and the IBM Watson Debater tool. The central aim is to contribute to the understanding of scholars in informal logic, rhetoric and argumentation on how these two software systems can be useful for them. One contribution of the paper is to explain to these (...)
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  27.  8
    Computational complexity of planning and approximate planning in the presence of incompleteness.Chitta Baral, Vladik Kreinovich & Raúl Trejo - 2000 - Artificial Intelligence 122 (1-2):241-267.
  28. Computational psychology and interpretation theory.Hilary Putnam - 1987 - In Artificial Intelligence. St Martin's Press.
  29.  40
    The computational complexity of hybrid temporal logics.C. Areces, P. Blackburn & M. Marx - 2000 - Logic Journal of the IGPL 8 (5):653-679.
    In their simplest form, hybrid languages are propositional modal languages which can refer to states. They were introduced by Arthur Prior, the inventor of tense logic, and played an important role in his work: because they make reference to specific times possible, they remove the most serious obstacle to developing modal approaches to temporal representation and reasoning. However very little is known about the computational complexity of hybrid temporal logics.In this paper we analyze the complexity of the satisfiability problem (...)
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  30. Paul M. kjeldergaard.Pittsburgh Computations Centers - 1968 - In T. Dixon & Deryck Horton (eds.), Verbal Behavior and General Behavior Theory. Prentice-Hall.
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  31.  14
    Collaborative computational intelligence in economics.Shu-Heng Chen - 2009 - In L. Magnani (ed.), computational intelligence. pp. 233--273.
  32. Computational Logic in Multi-Agent Systems. CLIMA 2011. Lecture Notes in Computer Science, vol 6814.Joao Leite, Paolo Torroni, Thomas Agotnes, Guido Boella & Leon van der Torre (eds.) - 2011 - Springer.
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  33. Computational speed-up by effective operators.Albert R. Meyer & Patrick C. Fischer - 1972 - Journal of Symbolic Logic 37 (1):55-68.
  34. Polysemy: theoretical and computational approaches.Yael Ravin & Claudia Leacock (eds.) - 2000 - Oxford: Oxford University Press.
    Polysemy is a term used in semantic and lexical analysis to describe a word with multiple meanings. Although such words present few difficulties in everyday communication, they do pose near-intractable problems for linguists and lexicographers. The contributors in this volume consider the implications of these problems for linguistic theory and how they may be addressed in computational linguistics.
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  35. Marr on computational-level theories.Oron Shagrir - 2010 - Philosophy of Science 77 (4):477-500.
    According to Marr, a computational-level theory consists of two elements, the what and the why . This article highlights the distinct role of the Why element in the computational analysis of vision. Three theses are advanced: ( a ) that the Why element plays an explanatory role in computational-level theories, ( b ) that its goal is to explain why the computed function (specified by the What element) is appropriate for a given visual task, and ( c (...)
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  36.  34
    Human Abductive Cognition Vindicated: Computational Locked Strategies, Dissipative Brains, and Eco-Cognitive Openness.Lorenzo Magnani - 2022 - Philosophies 7 (1):15.
    _Locked_ and _unlocked_ strategies are illustrated in this article as concepts that deal with important cognitive aspects of deep learning systems. They indicate different inference routines that refer to poor (locked) to rich (unlocked) cases of creative production of creative cognition. I maintain that these differences lead to important consequences when we analyze computational deep learning programs, such as AlphaGo/AlphaZero, which are able to realize various types of abductive hypothetical reasoning. These programs embed what I call locked abductive strategies, (...)
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  37.  35
    A computational theory of executive cognitive processes and multiple-task performance: Part I. Basic mechanisms.David E. Meyer & David E. Kieras - 1997 - Psychological Review 104 (1):3-65.
  38. Computational Evidence That Frequency Trajectory Theory Does Not Oppose But Emerges From Age‐of‐Acquisition Theory.Martial Mermillod, Patrick Bonin, Alain Méot, Ludovic Ferrand & Michel Paindavoine - 2012 - Cognitive Science 36 (8):1499-1531.
    According to the age-of-acquisition hypothesis, words acquired early in life are processed faster and more accurately than words acquired later. Connectionist models have begun to explore the influence of the age/order of acquisition of items (and also their frequency of encounter). This study attempts to reconcile two different methodological and theoretical approaches (proposed by Lambon Ralph & Ehsan, 2006 and Zevin & Seidenberg, 2002) to age-limited learning effects. The current simulations extend the findings reported by Zevin and Seidenberg (2002) that (...)
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  39.  16
    Computational approaches to color constancy: Adaptive and ontogenetic considerations.James L. Dannemiller - 1989 - Psychological Review 96 (2):255-266.
  40.  37
    Computational neuroscience.Terrence J. Sejnowski - 1986 - Behavioral and Brain Sciences 9 (1):104-105.
  41.  12
    A computational literary theory: the ultimate products of the brain/mind machine.Akifumi Tokosumi - 2001 - In Tadashi Kitamura (ed.), What Should Be Computed to Understand and Model Brain Function?: From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy. World Scientific. pp. 3--43.
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  42.  25
    Harnessing Computational Complexity Theory to Model Human Decision‐making and Cognition.Juan Pablo Franco & Carsten Murawski - 2023 - Cognitive Science 47 (6):e13304.
    A central aim of cognitive science is to understand the fundamental mechanisms that enable humans to navigate and make sense of complex environments. In this letter, we argue that computational complexity theory, a foundational framework for evaluating computational resource requirements, holds significant potential in addressing this challenge. As humans possess limited cognitive resources for processing vast amounts of information, understanding how humans perform complex cognitive tasks requires comprehending the underlying factors that drive information processing demands. Computational complexity (...)
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  43. Time-consciousness in computational phenomenology: a temporal analysis of active inference.Juan Diego Bogotá & Zakaria Djebbara - 2023 - Neuroscience of Consciousness 2023 (1):niad004.
    Time plays a significant role in science and everyday life. Despite being experienced as a continuous flow, computational models of consciousness are typically restricted to a sequential temporal structure. This difference poses a serious challenge for computational phenomenology—a novel field combining phenomenology and computational modelling. By analysing the temporal structure of the active inference framework, we show that an integrated continuity of time can be achieved by merging Husserlian temporality with a sequential order of time. We also (...)
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  44.  22
    Computational Paradigm to Elucidate the Effects of Arts-Based Approaches: Art and Music Studies and Implications for Research and Therapy.Billie Sandak, Avi Gilboa & David Harel - 2020 - Frontiers in Psychology 11.
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  45. Computational Number Theory.C. Pomerance - 2008 - In T. Gowers (ed.), Princeton Companion to Mathematics. Princeton University Press. pp. 348--362.
     
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  46.  70
    Marr’s Computational Level and Delineating Phenomena.Oron Shagrir & William Bechtel - unknown
    A key component of scientific inquiry, especially inquiry devoted to developing mechanistic explanations, is delineating the phenomenon to be explained. The task of delineating phenomena, however, has not been sufficiently analyzed, even by the new mechanistic philosophers of science. We contend that Marr’s characterization of what he called the computational level provides a valuable resource for understanding what is involved in delineating phenomena. Unfortunately, the distinctive feature of Marr’s computational level, his dual emphasis on both what is computed (...)
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  47.  16
    Do Computational Models of Reading Need a Bit of Semantics?Remo Job & Claudio Mulatti - 2007 - In L. Magnani & P. Li (eds.), Model-Based Reasoning in Science, Technology, and Medicine. Springer. pp. 511--525.
  48.  29
    On the computational content of the Bolzano-Weierstraß Principle.Pavol Safarik & Ulrich Kohlenbach - 2010 - Mathematical Logic Quarterly 56 (5):508-532.
    We will apply the methods developed in the field of ‘proof mining’ to the Bolzano-Weierstraß theorem BW and calibrate the computational contribution of using this theorem in proofs of combinatorial statements. We provide an explicit solution of the Gödel functional interpretation as well as the monotone functional interpretation of BW for the product space Πi ∈ℕ[–ki, ki] . This results in optimal program and bound extraction theorems for proofs based on fixed instances of BW, i.e. for BW applied to (...)
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  49.  25
    Computational Models: Why Build Them?Herbert A. Simon - 2002 - In Lynn Nadel (ed.), Encyclopedia of Cognitive Science. Macmillan.
  50.  59
    Computational Neuropsychology and Bayesian Inference.Thomas Parr, Geraint Rees & Karl J. Friston - 2018 - Frontiers in Human Neuroscience 12.
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