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  1. Using Computational Models to Discover and Understand Mechanisms.William Bechtel - 2016 - Studies in History and Philosophy of Science Part A 56:113-121.
  2. Emergence, Computation and the Freedom Degree Loss Information Principle in Complex Systems.Ignazio Licata & Gianfranco Minati - 2017 - Foundations of Science 22 (4):863-881.
    We consider processes of emergence within the conceptual framework of the Information Loss principle and the concepts of systems conserving information; systems compressing information; and systems amplifying information. We deal with the supposed incompatibility between emergence and computability tout-court. We distinguish between computational emergence, when computation acquires properties, and emergent computation, when computation emerges as a property. The focus is on emergence processes occurring within computational processes. Violations of Turing-computability such as non-explicitness and incompleteness are intended to represent partially the (...)
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  3. Physical Computation: A Mechanistic Account, by Gualtiero Piccinini. [REVIEW]Nir Fresco - 2017 - Australasian Journal of Philosophy 95 (3):625-626.
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  4. Social Autonomy and Heteronomy in the Age of ICT: The Digital Pharmakon and the Empowerment of the General Intellect.Pieter Lemmens - 2017 - Foundations of Science 22 (2):287-296.
    ‘The art of living with ICTs ’ today not only means finding new ways to cope, interact and create new lifestyles on the basis of the new digital technologies individually, as ‘consumer-citizens’. It also means inventing new modes of living, producing and, not in the least place, struggling collectively, as workers and producers. As the so-called digital revolution unfolds in the context of a neoliberal cognitive and consumerist capitalism, its ‘innovations’ are predominantly employed to modulate and control both production processes (...)
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  5. Models and People: An Alternative View of the Emergent Properties of Computational Models.Fabio Boschetti - 2016 - Complexity 21 (6):202-213.
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  6. Hypercomputation and the Physical Church‐Turing Thesis.Paolo Cotogno - 2003 - British Journal for the Philosophy of Science 54 (2):181-223.
    A version of the Church-Turing Thesis states that every effectively realizable physical system can be simulated by Turing Machines (‘Thesis P’). In this formulation the Thesis appears to be an empirical hypothesis, subject to physical falsification. We review the main approaches to computation beyond Turing definability (‘hypercomputation’): supertask, non-well-founded, analog, quantum, and retrocausal computation. The conclusions are that these models reduce to supertasks, i.e. infinite computation, and that even supertasks are no solution for recursive incomputability. This yields that the realization (...)
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  7. A Philosophy of Computing? - The Case of Sociology and Computing.H. Robinson - 1993 - Journal of Intelligent Systems 3 (2-4):189-216.
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  8. Computational Models of Consciousness: An Evaluation.Ron Sun - 1999 - Journal of Intelligent Systems 9 (5-6):507-568.
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  9. Design and Implementation of SeTiA: Secure Multi Auction System II: Architecture and Implementation Issues.V. S. Borkar, M. S. Dave & R. K. Shyamasundar - 2005 - Journal of Intelligent Systems 14 (1):69-93.
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  10. Computing is at Best a Special Kind of Thinking.James H. Fetzer - 2000 - The Proceedings of the Twentieth World Congress of Philosophy 9:103-113.
    When computing is defined as the causal implementation of algorithms and algorithms are defined as effective decision procedures, human thought is mental computation only if it is governed by mental algorithms. An examination of ordinary thinking, however, suggests that most human thought processes are non-algorithmic. Digital machines, moreover, are mark-manipulating or string-processing systems whose marks or strings do not stand for anything for those systems, while minds are semiotic systems for which signs stand for other things for those systems. Computing, (...)
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  11. Informational Macrodynamics for Cognitive Information Modeling and Computation.Vladimir S. Lerner - 2001 - Journal of Intelligent Systems 11 (6):409-470.
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  12. Parallel Implementation of Backpropagation Algorithm.R. Szabo & M. Steinmetz - 1996 - Journal of Intelligent Systems 6 (3-4):261-278.
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  13. The Computational Notion of Life.Ciaus Emmeche - 1994 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 9 (2):1-30.
    The present paper discusses a topic often neglected by contemporary philosophy of biology: The relation between metaphorical notions of living organisms as information processing systems, the attempts to model such systems by computational means, and the idea that life itself is a computational phenomenon. This question has ramifications in theoretical biology and thedefinition of Iife, in theoretical computer science and the concept of computation, and in semiotics, and the concept of the interpreter. It is argued, that the theory of autopoietic (...)
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  14. Computation and Causation.Richard Scheines - 2002 - Metaphilosophy 33 (1&2):158-180.
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  15. Mediation and Metaxý: The Interval Between Analog Animality and Digital Humanity.Thomas Sutherland - unknown
    This article examines Plotinus’ conception of metaxý – the human as interval between animals and gods – and its resonances in the work of Jacques Lacan, who implicitly retains and reconfigures the notion of the human being as a mediator. Lacan replicates this ancient narrative, but does so within the context of a cyberneticism that replaces gods and angels with symbolic computation. Humanity, according to such a conception, is tacitly regarded not only as a mediator, but as that which is (...)
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  16. Physical Computation and Cognitive Science.Gordana Dodig-Crnkovic - 2016 - Australasian Journal of Philosophy 94 (2): 396-399.
    This is a book review of Nir Fresco's book, published in Australasian Journal of Philosophy (0004-8402). Vol. 94 (2016), 2, p. 396-399.
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  17. Gualtiero Piccinini: Physical Computation: A Mechanistic Account.Matteo Colombo - 2016 - Minds and Machines 26 (3):307-312.
  18. The Importance of Learning History and Philosophy of Computing.Colin Price - unknown
    Computers have invaded our offices, our homes, cars and coffee-pots; they have become ubiquitous. However, the advance of computing technologies is associated with an increasing lack of “visibility” of the underlying software and hardware technologies. While we use and accept the computer, we neither know its history nor functionality. In this paper, we argue that this is not a healthy situation. Also, recruitment onto UK Computing degree courses is steadily falling; these courses are appearing less attractive to school-leavers. This may (...)
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  19. Experimental Computation as an Ontological Game Changer: The Impact of Modern Mathematical Computation Tools on the Ontology of Mathematics.David H. Bailey & Jonathan M. Borwein - unknown
    Robust, concrete and abstract, mathematical computation and inference on the scale now becoming possible should change the discourse about many matters mathematical. These include: what mathematics is, how we know something, how we persuade each other, what suffices as a proof, the infinite, mathematical discovery or invention, and other such issues.
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  20. Computation in Non-Classical Foundations?Toby Meadows & Zach Weber - 2016 - Philosophers' Imprint 16.
    The Church-Turing Thesis is widely regarded as true, because of evidence that there is only one genuine notion of computation. By contrast, there are nowadays many different formal logics, and different corresponding foundational frameworks. Which ones can deliver a theory of computability? This question sets up a difficult challenge: the meanings of basic mathematical terms are not stable across frameworks. While it is easy to compare what different frameworks say, it is not so easy to compare what they mean. We (...)
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  21. Models of Neural Computation: An Examination of David Chalmers’ Causal Theory of the Mind.Dinyar Mistry - unknown
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  22. From Aristotle to John Searle and Back Again: Formal Causes, Teleology, and Computation in Nature.Edward Feser - 2016 - Nova et Vetera 14 (2):459-494.
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  23. Inleiding: 'History of Computing'. Geschiedschrijving Over Computers En Computergebruik in Nederland.Adrienne van den Boogaard - 2008 - Studium : Revue D’Histoire des Sciences Et des Universités 1 (2):89.
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  24. What Computations Can't Do: Jerry Fodor on Computation and Modularity.Robert A. Wilson - 2004 - Canadian Journal of Philosophy 34 (sup1):407-425.
    Fodor's thinking on modularity has been influential throughout a range of the areas studying cognition, chiefly as a prod for positive work on modularity and domain-specificity. In _The Mind Doesn't Work That Way_, Fodor has developed the dark message of _The Modularity of Mind_ regarding the limits to modularity and computational analyses. This paper offers a critical assessment of Fodor's scepticism with an eye to highlighting some broader issues in play, including the nature of computation and the role of recent (...)
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  25. Computation and Consciousness.Tim Maudlin - 1989 - Journal of Philosophy 86 (8):407.
  26. On the Parallel Computation Thesis.Nachum Dershowitz & Evgenia Falkovich-Derzhavetz - 2016 - Logic Journal of the IGPL 24 (3):346-374.
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  27. Computational Modelling of Hydrogen Embrittlement in Welded Structures.O. Barrera & A. C. F. Cocks - 2013 - Philosophical Magazine 93 (20):2680-2700.
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  28. Effect of Material Stiffness on Hardness: A Computational Study Based on Model Potentials.Gerolf Ziegenhain & Herbert M. Urbassek - 2009 - Philosophical Magazine 89 (26):2225-2238.
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  29. Computational Homogenization of Material Layers with Micromorphic Mesostructure.C. B. Hirschberger, N. Sukumar & P. Steinmann - 2008 - Philosophical Magazine 88 (30-32):3603-3631.
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  30. Numerical Computation of the Director Field in a Twist Wall.Robert Turner - 1975 - Philosophical Magazine 31 (3):719-722.
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  31. Experimental and Computational Creep Characterization of Al–Mg Solid-Solution Alloy Through Instrumented Indentation.Hidenari Takagi, Ming Dao†, Masami Fujiwara‡ & Masahisa Otsuka - 2003 - Philosophical Magazine 83 (35):3959-3976.
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  32. A Computational Framework for Modelling Grain-Structure Evolution in Three Dimensions.Max O. Bloomfield, David F. Richards & Timothy S. Cale† - 2003 - Philosophical Magazine 83 (31-34):3549-3568.
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  33. On Using Compressibility to Detect When Slime Mould Completed Computation.Andrew Adamatzky & Jeff Jones - 2016 - Complexity 21 (5):162-175.
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  34. Amorphous Computing.Harold Abelson & Nancy Forbes - 2000 - Complexity 5 (3):22.
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  35. A Plan Recognition Method Using Prefix Computation in Web Access Log Analysis.Ryosuke Kojima & Taisuke Sato - 2014 - Transactions of the Japanese Society for Artificial Intelligence 29 (3):301-310.
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  36. Computational Model for Calculating Curvatures.Haiyang Yu & Seizaburo Niitsuma - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22 (6):595-603.
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  37. Self-Organizing Symbol Acquisition and Motion Generation Based on Dynamics-Based Information Processing System.Masafumi Okada, Daisuke Nakamura & Yoshihiko Nakamura - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:177-187.
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  38. Landmarks in Digital Computing: A Smithsonian Pictorial History. Peggy A. Kidwell, Paul E. Ceruzzi.Michael S. Mahoney - 1995 - Isis 86 (4):691-692.
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  39. Early Scientific Computing in Britain. Mary Croarken.Michael S. Mahoney - 1992 - Isis 83 (1):167-168.
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  40. The Charles Babbage Institute for the History of Information Processing.Pamela Gullard - 1981 - Isis 72 (2):262-264.
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  41. Computational Modeling of Reading in Semantic Dementia: Comment on Woollams, Lambon Ralph, Plaut, and Patterson.Max Coltheart, Jeremy J. Tree & Steven J. Saunders - 2010 - Psychological Review 117 (1):256-271.
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  42. Validating Computational Models: A Critique of Anderson's Indeterminacy of Representation Claim.Zenon W. Pylyshyn - 1979 - Psychological Review 86 (4):383-394.
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  43. Shorter Contributions: Practical Computation of the Median.E. W. Scripture - 1895 - Psychological Review 2 (4):376-379.
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  44. Toward a Method of Selecting Among Computational Models of Cognition.Mark A. Pitt, In Jae Myung & Shaobo Zhang - 2002 - Psychological Review 109 (3):472-491.
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  45. Why Do We SLIP to the Basic Level? Computational Constraints and Their Implementation.Frédéric Gosselin & Philippe G. Schyns - 2001 - Psychological Review 108 (4):735-758.
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  46. Computation and Blending.Tony Veale & Diarmuid O'donoghue - 2001 - Cognitive Linguistics 11 (3-4).
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  47. Do We Need Algebraic-Like Computations? A Reply to Bonatti, Peña, Nespor, and Mehler.Pierre Perruchet, Ronald Peereman & Michael D. Tyler - 2006 - Journal of Experimental Psychology: General 135 (2):322-326.
  48. Analyzing the Factors Underlying the Structure and Computation of the Meaning of Chipmunk, Cherry, Chisel, Cheese, and Cello.George S. Cree & Ken McRae - 2003 - Journal of Experimental Psychology: General 132 (2):163-201.
  49. Computing, Design, Art: Reflections on an Innovative Moment in History.Stephen Boyd Davis & Simone Gristwood - 2016 - In .
    The chapter is concerned with the role of art and design in the history and philosophy of computing, and the role of computing in models of design and art. It offers insights arising from research into a period in the 1960s and 70s, particularly in the UK, when computing became more available to artists and designers, focusing on Bruce Archer and John Lansdown in London. It suggests that models of computing interacted with conceptualisations of art, design and creative activities in (...)
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  50. Physical Computation: A Mechanistic Account. [REVIEW]Joe Dewhurst - 2016 - Philosophical Psychology 29 (5):795-797.
    Physical Computation is the summation of Piccinini’s work on computation and mechanistic explanation over the past decade. It draws together material from papers published during that time, but also provides additional clarifications and restructuring that make this the definitive presentation of his mechanistic account of physical computation. This review will first give a brief summary of the account that Piccinini defends, followed by a chapter-by-chapter overview of the book, before finally discussing one aspect of the account in more critical detail.
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