Results for 'Machine theory'

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  1. Measurement Theory, Nomological Machine And Measurement Uncertainties (In Classical Physics).Ave Mets - 2013 - Studia Philosophica Estonica 5 (2):167-186.
    Measurement is said to be the basis of exact sciences as the process of assigning numbers to matter (things or their attributes), thus making it possible to apply the mathematically formulated laws of nature to the empirical world. Mathematics and empiria are best accorded to each other in laboratory experiments which function as what Nancy Cartwright calls nomological machine: an arrangement generating (mathematical) regularities. On the basis of accounts of measurement errors and uncertainties, I will argue for two claims: (...)
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  2.  11
    From Machine-Theory to Entelechy: Two Studies in Developmental Teleology.Frederick B. Churchill - 1969 - Journal of the History of Biology 2 (1):165-185.
  3.  8
    Abstract Machine Theory and Direct Perception.Robert Shaw & James Todd - 1980 - Behavioral and Brain Sciences 3 (3):400.
  4. Machine Learning Theory and Practice as a Source of Insight Into Universal Grammar.Shalom Lappin - unknown
    In this paper, we explore the possibility that machine learning approaches to naturallanguage processing being developed in engineering-oriented computational linguistics may be able to provide specific scientific insights into the nature of human language. We argue that, in principle, machine learning results could inform basic debates about language, in one area at least, and that in practice, existing results may offer initial tentative support for this prospect. Further, results from computational learning theory can inform arguments carried on (...)
     
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  5.  21
    Mind, a Machine? Review of “The Search for a Theory of Cognition: Early Mechanisms and New Ideas” Edited by Stefano Franchi and Francesco Bianchini.P. Cariani - 2012 - Constructivist Foundations 7 (3):222-227.
    Upshot: Written by recognized experts in their fields, the book is a set of essays that deals with the influences of early cybernetics, computational theory, artificial intelligence, and connectionist networks on the historical development of computational-representational theories of cognition. In this review, I question the relevance of computability arguments and Jonasian phenomenology, which has been extensively invoked in recent discussions of autopoiesis and Ashby’s homeostats. Although the book deals only indirectly with constructivist approaches to cognition, it is useful reading (...)
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  6. Machine Learning Theory and Practice as a Source of Insight Into Universal Grammar. StuartmShieber - unknown
    In this paper, we explore the possibility that machine learning approaches to naturallanguage processing being developed in engineering-oriented computational linguistics may be able to provide specific scientific insights into the nature of human language. We argue that, in principle, machine learning results could inform basic debates about language, in one area at least, and that in practice, existing results may offer initial tentative support for this prospect. Further, results from computational learning theory can inform arguments carried on (...)
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  7.  40
    Abstract Complexity Theory and the Mind-Machine Problem.Albert E. Lyngzeidetson & Martin K. Solomon - 1994 - British Journal for the Philosophy of Science 45 (2):549-54.
    In this paper we interpret a characterization of the Gödel speed-up phenomenon as providing support for the ‘Nagel-Newman thesis’ that human theorem recognizers differ from mechanical theorem recognizers in that the former do not seem to be limited by Gödel's incompleteness theorems whereas the latter do seem to be thus limited. However, we also maintain that (currently non-existent) programs which are open systems in that they continuously interact with, and are thus inseparable from, their environment, are not covered by the (...)
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  8.  33
    Why Don't Zebras Have Machine Guns Adaptation, Selection, and Constraints in Evolutionary Theory.Timothy Shanahan - 2008 - Studies in History and Philosophy of Science Part C 39 (1):135-146.
    In an influential paper, Stephen Jay Gould and Richard Lewontin contrasted selection-driven adaptation with phylogenetic, architectural, and developmental constraints as distinct causes of phenotypic evolution. In subsequent publications Gould has elaborated this distinction into one between a narrow “Darwinian Fundamentalist” emphasis on “external functionalist” processes, and a more inclusive “pluralist” emphasis on “internal structuralist” principles. Although theoretical integration of functionalist and structuralist explanations is the ultimate aim, natural selection and internal constraints are treated as distinct causes of evolutionary change. This (...)
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  9. The Logic Theory Machine -- A Complex Information Processing System.Allen Newell & Herbert A. Simon - 1956 - IRE Transactions on Information Theory 2 (3):61--79.
     
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  10. Book Review: Beyond the Image Machine: A History of Visual Technologies; Critical Technology: A Social Theory of Personal Computing. [REVIEW]Nicholas Gane - 2006 - Thesis Eleven 84 (1):141-144.
  11.  6
    The Logic Theory Machine. A Complex Information Processing System.Allen Newell & Herbert A. Simon - 1957 - Journal of Symbolic Logic 22 (3):331-332.
  12. Why Don’T Zebras Have Machine Guns? Adaptation, Selection, and Constraints in Evolutionary Theory.Timothy Shanahan - 2008 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 39 (1):135-146.
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  13.  22
    Beyond the Experience Machine: How to Build a Theory of Well-Being.Valerie Tiberius - 2013 - In Matthew C. Haug (ed.), Philosophical Methodology: The Armchair or the Laboratory? Routledge. pp. 398.
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  14. Machine Learning Theory and Practice as a Source of Insight Into Universal Grammar.Shalom Lappin with S. Shieber - manuscript
  15.  2
    Is the Human Body a Nervous Machine?: Body Theory of Merleau-Ponty Facing the Challenges of the Technological Society.José Rey de Castro - 2013 - Synesis 5 (2):100-112.
  16.  2
    Newell Allen and Simon Herbert A.. The Logic Theory Machine. A Complex Information Processing System. Institute of Radio Engineers, Transactions on Information Theory, Vol. IT-2 No. 3 , Pp. 61–79. [REVIEW]Andrzej Ehrenfeucht - 1957 - Journal of Symbolic Logic 22 (3):331-332.
  17.  7
    ¿Es el cuerpo humano Una máquina nerviosa? La teoría Del cuerpo de Merleau-ponty Ante Los desafíos de la sociedad tecnológica / is the human body a nervous machine? Body theory of Merleau-ponty facing the challenges of the technological society.José Augusto Rey de Castro - 2013 - Synesis 5 (2):100-112.
    Este trabajo explora en algunas obras de Maurice Merleau-Ponty la posibilidad de considerar el cuerpo como una máquina nerviosa, tomando como marco su crítica a la mentalidad cientificista y positivista. Para cumplir con este propósito se estudia la relación entre el cuerpo y el mundo, dando particular atención a las reflexiones vinculadas a la ciencia y la técnica. Las obras que serán protagonistas en esta exploración son La fenomenología de la percepción (1945), El mundo de la percepción (conjunto de conferencias (...)
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  18.  6
    ¿Es el cuerpo humano Una máquina nerviosa? La teoría Del cuerpo de Merleau-ponty Ante Los desafíos de la sociedad tecnológica / is the human body a nervous machine? Body theory of Merleau-ponty facing the challenges of the technological society.José Rey de Castro - 2013 - Synesis 5 (2):100-112.
    Este trabajo explora en algunas obras de Maurice Merleau-Ponty la posibilidad de considerar el cuerpo como una máquina nerviosa, tomando como marco su crítica a la mentalidad cientificista y positivista. Para cumplir con este propósito se estudia la relación entre el cuerpo y el mundo, dando particular atención a las reflexiones vinculadas a la ciencia y la técnica. Las obras que serán protagonistas en esta exploración son La fenomenología de la percepción (1945), El mundo de la percepción (conjunto de conferencias (...)
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  19.  3
    A Machine-Assisted Proof of Gödel’s Incompleteness Theorems for the Theory of Hereditarily Finite Sets.Lawrence C. Paulson - 2014 - Review of Symbolic Logic 7 (3):484-498.
  20. Review: Allen Newell, Herbert A. Simon, The Logic Theory Machine. A Complex Information Processing System. [REVIEW]Andrzej Ehrenfeucht - 1957 - Journal of Symbolic Logic 22 (3):331-332.
  21.  1
    Blum Manuel. A Machine-Independent Theory of the Complexity of Recursive Functions. Journal of the Association for Computing Machinery, Vol. 14 , Pp. 322–336. [REVIEW]Stephen A. Cook - 1969 - Journal of Symbolic Logic 34 (4):657-658.
  22.  1
    Dunham B., Fridshal R., and Sward G. L.. A Non-Heuristic Program for Proving Elementary Logical Theorems. English, with French, German, Russian, and Spanish Summaries. Information Processing, Proceedings of the International Conference on Information Processing, Unesco, Paris 15–20 June 1959, Unesco, Paris, R. Oldenbourg, Munich, and Butterworths, London, 1960, Pp. 282–285.Dunham B., Fridshal R., and North J. H.. Exploratory Mathematics by Machine. Recent Developments in Information and Decision Processes, Edited by Machol Robert E. And Gray Paul, The Macmillan Company, New York 1962, Pp. 149–160.Dunham B. And North J. H.. Theorem Testing by Computer. Proceedings of the Symposium on Mathematical Theory of Automata, New York, N. Y., April 24, 25, 26, 1962, Microwave Research Symposia Series Vol. 12, Polytechnic Press of the Polytechnic Institute of Brooklyn, Brooklyn, N.Y., 1963, Pp. 173–177. [REVIEW]Joyce Friedman - 1967 - Journal of Symbolic Logic 32 (2):266.
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  23.  1
    Newell A., Shaw J. C., and Simon H. A.. Empirical Explorations of the Logic Theory Machine: A Case Study in Heuristic. Proceedings of the Western Joint Computer Conference, Los Angeles 1957, Pp. 218–230.Cowan Bryan, McClurg G. H., Newell A., Tanner P. E., Yarbrough L. D.. Discussion. Proceedings of the Western Joint Computer Conference, Los Angeles 1957, P. 230. [REVIEW]Abraham Robinson - 1962 - Journal of Symbolic Logic 27 (1):102-103.
  24.  3
    Review: A. Newell, J. C. Shaw, Programming the Logic Theory Machine[REVIEW]Abraham Robinson - 1962 - Journal of Symbolic Logic 27 (1):103-103.
  25.  2
    Rogers Hartley Jr., The Present Theory of Turing Machine Computability. Journal of the Society for Industrial and Applied Mathematics, Vol. 7 (1959), Pp. 114–130. [REVIEW]C. E. M. Yates - 1996 - Journal of Symbolic Logic 31 (3):513-513.
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  26.  2
    Review: Manuel Blum, A Machine-Independent Theory of the Complexity of Recursive Functions. [REVIEW]Stephen A. Cook - 1969 - Journal of Symbolic Logic 34 (4):657-658.
  27.  1
    Review: A. Newell, J. C. Shaw, H. A. Simon, Empirical Explorations of the Logic Theory Machine: A Case Study in Heuristic. [REVIEW]Abraham Robinson - 1962 - Journal of Symbolic Logic 27 (1):102-103.
  28. Current BooksAepinus's Essay on the Theory of Electricity and MagnetismAepinus P. J. ConnorElectricity From Glass: The History of the Frictional Electrical Machine 1600-1850Willem D. HackmannElectricity in the 17th & 18th Centuries: A Study of Early Modern PhysicsJ. L. Heilbron. [REVIEW]I. Bernard Cohen - 1981 - Isis 72 (3):480-489.
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  29. Abstract Complexity Theory and the Mind-Machine Problem.E. Lyngzeidetson Albert - 1994 - British Journal for the Philosophy of Science 45 (2):549.
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  30. Lin Shen and Rado Tibor. Computer Studies of Turing Machine Problems. Journal of the Association for Computing Machinery, Vol. 12 , Pp. 196–212.Brady Allen H.. The Conjectured Highest Scoring Machines for Rado's Σ for the Value K = 4. IEEE Transactions on Electronic Computers, Vol. EC-15 , Pp. 802–803.Green Milton W.. A Lower Bound on Rado's Sigma Function for Binary Turing Machines. Switching Circuit Theory and Logical Design, Proceedings of the Fifth Annual Symposium, Princeton University, Princeton, N.J., November 11-13, 1964, The Institute of Electrical and Electronics Engineers, Inc., New York 1964, Pp. 91–94. [REVIEW]H. B. Enderton - 1975 - Journal of Symbolic Logic 40 (4):617.
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  31. Machine Perception in Philosophy and Technology II. Information Technology and Computers in Theory and Practice.Pa Heelan - 1986 - Boston Studies in the Philosophy of Science 90:131-156.
  32. Newell A. And Shaw J. C.. Programming the Logic Theory Machine. Proceedings of the Western Joint Computer Conference, Los Angeles 1957, Pp. 230–240.Matlock J., Meissner L. P., Sayre P., and Shaw J. C.. Discussion. Proceedings of the Western Joint Computer Conference, Los Angeles 1957, P. 240. [REVIEW]Abraham Robinson - 1962 - Journal of Symbolic Logic 27 (1):103.
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  33. Machine Models for the Growth of Knowledge: Theory Nets in Prolog in Imre Lakatos and Theories of Scientific Change.Jd Sneed - 1989 - Boston Studies in the Philosophy of Science 111:245-268.
     
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  34. The Demise of the Turing Machine in Complexity Theory.Iain A. Stewart - 1996 - In P. J. R. Millican & A. Clark (eds.), Machines and Thought: The Legacy of Alan Turing, Volume 1. Clarendon Press.
  35. A Computational Literary Theory: The Ultimate Products of the Brain/Mind Machine.Akifumi Tokosumi - 2001 - In T. Kitamura (ed.), What Should Be Computed to Understand and Model Brain Function? World Scientific. pp. 3--43.
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  36. Review: Hartley Rogers, The Present Theory of Turing Machine Computability. [REVIEW]C. E. M. Yates - 1966 - Journal of Symbolic Logic 31 (3):513-513.
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  37. The Present Theory of Turing Machine Computability.C. E. M. Yates & Hartley Rogers - 1966 - Journal of Symbolic Logic 31 (3):513.
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  38. A Quantum Theory of Consciousness.Shan Gao - 2008 - Minds and Machines 18 (1):39-52.
    The relationship between quantum collapse and consciousness is reconsidered under the assumption that quantum collapse is an objective dynamical process. We argue that the conscious observer can have a distinct role from the physical measuring device during the process of quantum collapse owing to the intrinsic nature of consciousness; the conscious observer can know whether he is in a definite state or a quantum superposition of definite states, while the physical measuring device cannot “know”. As a result, the consciousness observer (...)
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  39.  3
    Theory of Deductive Systems and its Applications.S. Iu Maslov, Michael Gelfond & Vladimir Lifschitz - 1987
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  40.  2
    Elements of the Theory of Computation.Harry R. Lewis & Christos H. Papadimitriou - 1984 - Journal of Symbolic Logic 49 (3):989-990.
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  41. The Language Machine.Roy Harris - 1987 - Cornell University Press.
  42. Fundamentals of Computation Theory: Proceedings of the 1977 International Fct-Conference, Poznán-Kórnik, Poland, September 19-23, 1977. [REVIEW]Marek Karpiński (ed.) - 1977 - Springer Verlag.
     
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  43. Elements of the Theory of Computation Harry R. Lewis, Christos H. Papadimitriou.Harry R. Lewis & Christos H. Papadimitriou - 1998
     
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  44.  72
    A Theory Explains Deep Learning.Kenneth Kijun Lee & Chase Kihwan Lee - manuscript
    This is our journal for developing Deduction Theory and studying Deep Learning and Artificial intelligence. Deduction Theory is a Theory of Deducing World’s Relativity by Information Coupling and Asymmetry. We focus on information processing, see intelligence as an information structure that relatively close object-oriented, probability-oriented, unsupervised learning, relativity information processing and massive automated information processing. We see deep learning and machine learning as an attempt to make all types of information processing relatively close to probability information (...)
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  45.  1
    Statistical Learning Theory, Capacity, and Complexity.Bernhard Schölkopf - 2003 - Complexity 8 (4):87-94.
  46.  90
    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 for computational (...)
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  47.  34
    How Do Simple Rules `Fit to Reality' in a Complex World?Malcolm R. Forster - 1999 - Minds and Machines 9 (4):543-564.
    The theory of fast and frugal heuristics, developed in a new book called Simple Heuristics that make Us Smart (Gigerenzer, Todd, and the ABC Research Group, in press), includes two requirements for rational decision making. One is that decision rules are bounded in their rationality –- that rules are frugal in what they take into account, and therefore fast in their operation. The second is that the rules are ecologically adapted to the environment, which means that they `fit to (...)
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  48.  34
    Faszination Zeitreisen.Kay Herrmann - 2014 - Universitätsverlag Chemnitz.
    Time travel is one of mankind's most ancient dreams. It inspires our imagination and provides material for bizarre stories. H. G. Wells' novel, "The Time Machine" (1895), marks the beginning of a long history of science fiction literature devoted to the subject of time travel. -/- A work on the subject of time travel forces us to re-examine our concept of "time". The complexity and the contradictory nature this subject makes it difficult to be more precise about "time". On (...)
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  49. In Defense of Happiness: A Response to the Experience Machine.Matthew Silverstein - 2000 - Social Theory and Practice 26 (2):279-300.
    Many philosophers believe that Robert Nozick's experience machine argument poses an insurmountable obstacle to hedonism as a theory of well-being. After an initial attempt to demonstrate that the persuasiveness of this argument rests on a key ambiguity, I argue that the intuitions to which the thought experiment appeals are not nearly as clear as many philosophers suppose they are. I believe that a careful consideration of the origin of those intuitions--especially in light of the so-called "paradox of hedonism"--reveals (...)
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  50.  96
    The Passions of the Soul and Descartes's Machine Psychology.Gary Hatfield - 2007 - Studies in History and Philosophy of Science Part A 38 (1):1-35.
    Descartes developed an elaborate theory of animal physiology that he used to explain functionally organized, situationally adapted behavior in both human and nonhuman animals. Although he restricted true mentality to the human soul, I argue that he developed a purely mechanistic (or material) ‘psychology’ of sensory, motor, and low-level cognitive functions. In effect, he sought to mechanize the offices of the Aristotelian sensitive soul. He described the basic mechanisms in the Treatise on man, which he summarized in the Discourse. (...)
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