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  1. Adam Biela (1971). The Information Theory Aspect of Problem Solving. Roczniki Filozoficzne 19 (4):77.
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    Computation and Physical Systems
     Analog and Digital Computation
     Computers
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     Quantum Computation
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     Computation and Physical Systems, Misc
    Computer Ethics
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    Computer Simulation and Virtual Reality
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     Are We in a Simulation?
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    Phil of Artificial Intelligence
     Can Machines Think?
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     Genetic Information
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
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  2. J. Corcoran & John Herring (1971). Notes on a Semantic Analysis of Variable Binding Term Operators. Logique Et Analyse 55:644-657.
    -/- A variable binding term operator (vbto) is a non-logical constant, say v, which combines with a variable y and a formula F containing y free to form a term (vy:F) whose free variables are exact ly those of F, excluding y. -/- Kalish-Montague proposed using vbtos to formalize definite descriptions, set abstracts {x: F}, minimalization in recursive function theory, etc. However, they gave no sematics for vbtos. Hatcher gave a semantics but one that has flaws. We give a correct (...)
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    Computation and Physical Systems
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     Quantum Computation
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     Computation and Physical Systems, Misc
    Computer Ethics
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    Computer Simulation and Virtual Reality
     Simulation and Reality
     Are We in a Simulation?
     Virtual Reality
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    Phil of Artificial Intelligence
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    Phil of Information
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     Quantum Information
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
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  3. John Corcoran (2004). The Principle of Wholistic Reference. Manuscrito 27 (1):159-171.
    In its strongest, unqualified form the principle of wholistic reference is that each and every proposition refers to the whole universe of discourse as such, regardless how limited the referents of its non-logical or content terms. Even though Boole changed from a monistic fixed-universe framework in his earlier works of 1847 and 1848 to a pluralistic multiple-universe framework in his mature treatise of 1854, he never wavered in his frank avowal of the principle of wholistic reference, possibly in a slightly (...)
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    Phil of Artificial Intelligence
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
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  4. John Corcoran & Idris Samawi Hamid (2016). Two-Method Errors: Having It Both Ways. Bulletin of Symbolic Logic 21:444-5.
    ►JOHN CORCORAN AND IDRIS SAMAWI HAMID, Two-method errors: having it both ways. Philosophy, University at Buffalo, Buffalo, NY 14260-4150, USA E-mail: corcoran@buffalo.edu Philosophy, Colorado State University, Fort Collins, CO 80523-1781 USA E-mail: ishamid@colostate.edu Where two methods produce similar results, mixing the two sometimes creates errors we call two-method errors, TMEs: in style, syntax, semantics, pragmatics, implicature, logic, or action. This lecture analyzes examples found in technical and in non-technical contexts. One can say “Abe knows whether Ben draws” in two other (...)
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    Phil of Artificial Intelligence
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    Theory of Computation
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     Algorithmic Complexity
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  5. Mary Croarken (2005). A Computer Called Leo: Lyons Teashops And The World's First Office Computer. [REVIEW] British Journal for the History of Science 38 (4):491-492.
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    Computation and Physical Systems
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    Computer Simulation and Virtual Reality
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    Phil of Artificial Intelligence
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    Theory of Computation
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  6. Frederick J. Crosson (1964). Phenomenology and Computer Simulation of Human Behavior. Proceedings of the American Catholic Philosophical Association 38:128-136.
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    Theory of Computation
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     Algorithmic Complexity
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  7. E. B. Davies (2001). Building Infinite Machines. British Journal for the Philosophy of Science 52 (4):671-682.
    We describe in some detail how to build an infinite computing machine within a continuous Newtonian universe. The relevance of our construction to the Church-Turing thesis and the Platonist-Intuitionist debate about the nature of mathematics is also discussed.
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    Theory of Computation
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  8. Ana María de Torres (1974). Los primeros intentos de prueba automática de teoremas en el cálculo de enunciados. Teorema: International Journal of Philosophy 4 (4):489.
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  9. William A. Dembski, Not Taking Information Seriously Enough By.
    In Pandemonium Tremendum, James Huchingson takes as his starting point that scientific theories and technologies supply crucial metaphors for theological inquiry. Moreover, since the defining theory and technology of our age is respectively information theory and the computer, Huchingson focuses here for theological inspiration. Specifically, Huchingson attempts to frame a theological metaphysics in information-theoretic terms.
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    Theory of Computation
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  10. Randall R. Dipert (2002). The Substantive Impact of Computers on Philosophy: Prolegomena to a Computational and Information-Theoretic Metaphysics. In James Moor & Terrell Ward Bynum (eds.), Metaphilosophy. Blackwell Pub. 146-157.
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
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  11. Gordana Dodig-Crnkovic (2009). European Computing and Philosophy. The Reasoner 3.
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    Theory of Computation
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  12. Antonino Drago & Emanuele Drago (1997). Information Science as a Paradigmatic Instance of a Problem-Based Theory. World Futures 49 (3):251-273.
    (1997). Information science as a paradigmatic instance of a problem‐based theory. World Futures: Vol. 49, The Quest for a Unified Theory of Information, pp. 251-273.
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    Theory of Computation
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  13. Barbara Dragsted (2006). Computer-Aided Translation as a Distributed Cognitive Task. Pragmatics and Cognition 14 (2):443-464.
    The present article examines the potential effects on the translation process of working interactively with a translation memory system, a tool for storing and sharing previous translations. A TM system automatically divides the source text into sentences presented to the translator one-by-one. Based on observations made in an empirical study of six professional translators and six translation students, it is argued that full sentences do not constitute a central cognitive processing category in translation, and that the sentence-by-sentence presentation inherent in (...)
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    Theory of Computation
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  14. Graeme Earl (2013). Modeling in Archaeology: Computer Graphic and Other Digital Pasts. Perspectives on Science 21 (2):226-244.
    Computer graphic modeling forms an increasing part of archaeological practice, implicated in modes of recording objects and spaces, interpretation of types, management of three-dimensional information, creation of artificial experiences of place for interpretation, and representation of archaeological ideas to a broader public. In all spheres of life computer graphics are increasingly influential—by some estimates computed visions constitute the "dominant medium of thought" (Gooding 2008, p. 1). Archaeological computer graphics build on a long tradition of physical model building for the development (...)
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  15. Stacey Edgar (1997). The Artificial Intelligensia and Virtual Worlds. Acm Sigcas Computers and Society 27 (2):27-31.
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  16. Church of England (1999). Cybernauts Awake! Ethical and Spiritual Implications of Computers, Information Technology and the Internet.
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  17. Anna Esposito, Antonietta M. Esposito, Raffaele Martone, Vincent C. Müller & Gaetano Scarpetta (eds.) (2011). Towards Autonomous, Adaptive, and Context-Aware Multimodal Interfaces: Theoretical and Practical Issues. Springer.
    This volume brings together the advanced research results obtained by the European COST Action 2102: “Cross Modal Analysis of Verbal and Nonverbal Communication”. The research published in this book was discussed at the 3rd joint EUCOGII-COST 2102 International Training School entitled “Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces: Theoretical and Practical Issues ” and held in Caserta, Italy, on March 15-19, 2010.
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  18. Gábor Etesi & István Németi (2002). Non-Turing Computations Via Malament-Hogarth Space-Times. International Journal of Theoretical Physics 41:341--70.
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  19. Hassan A. Farhat (2004). Digital Design and Computer Organization. Monograph Collection (Matt - Pseudo).
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  20. Luc Faucher, Les Cahiers Du Lanci.
    Le Laboratoire d’ANalyse Cognitive de l’Information (LANCI) effectue des recherches sur le traitement cognitif de l’information. La recherche fondamentale porte sur les multiples conceptions de l’information. Elle s’intéresse plus particulièrement aux modèles cognitifs de la classification et de la catégorisation, tant dans une perspective symbolique que connexionniste. La recherche appliquée explore les technologies informatiques qui manipulent l’information. Le territoire privilégié est celui du texte. La recherche est de nature interdisciplinaire. Elle en appelle à la philosophie, à l’informatique, à la linguistique (...)
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  21. Jeanne Ferrante (1974). Some Upper and Lower Bounds on Decision Procedures in Logic. Project Mac, Massachusetts Institute of Technology.
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  22. Luciano Floridi (2009). Against Digital Ontology. Synthese 168 (1):151 - 178.
    The paper argues that digital ontology (the ultimate nature of reality is digital, and the universe is a computational system equivalent to a Turing Machine) should be carefully distinguished from informational ontology (the ultimate nature of reality is structural), in order to abandon the former and retain only the latter as a promising line of research. Digital vs. analogue is a Boolean dichotomy typical of our computational paradigm, but digital and analogue are only “modes of presentation” of Being (to paraphrase (...)
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  23. Erol Gelenbe, Samson Abramsky & Vladimiro Sassone (eds.) (2008). Visions of Computer Science. British Computer Society.
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  24. Don Gotterbarn & Robert Riser (1997). Ethics Activities in Computer Science Courses: Goals and Issues. Acm Sigcas Computers and Society 27 (1):10-15.
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  25. Saul Greenberg, Kasper Honbaek, Aaron Quigley, Harald Reiterer & Roman Rädle, Proxemics in Human-Computer Interaction (Dagstuhl Seminar 13452).
    In 1966, anthropologist Edward Hall coined the term "proxemics." Proxemics is an area of study that identifies the culturally dependent ways in which people use interpersonal distance to understand and mediate their interactions with others. Recent research has demonstrated the use of proxemics in human-computer interaction (HCI) for supporting users' explicit and implicit interactions in a range of uses, including remote office collaboration, home entertainment, and games. One promise of proxemics is the realization of context-aware environments, which have been extensively (...)
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  26. Wendy M. Grossman (2014). Big Data. The Philosophers' Magazine 66:23-24.
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  27. Jeremy Hall & Philip Rosson (2006). The Impact of Technological Turbulence on Entrepreneurial Behavior, Social Norms and Ethics: Three Internet-Based Cases. [REVIEW] Journal of Business Ethics 64 (3):231 - 248.
    We investigate the entrepreneurial opportunities and ethical dilemmas presented by technological turbulence. More specifically we investigate the line between Baumol’s [J. Polit. Econ. 98 (1990) 893] productive (e.g. innovation), unproductive (e.g. rent seeking) and destructive (e.g. criminal) entrepreneurship through three examples of Internet innovation – spam (destructive), music file sharing (unproductive), and Internet pharmacies (potentially productive). The emergence of accessible Internet technologies, under present norms, has created the potential for all three entrepreneurial activities. Because of the propensity for self-serving biases (...)
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  28. Mark Hogarth (2004). Deciding Arithmetic Using SAD Computers. British Journal for the Philosophy of Science 55 (4):681-691.
    Presented here is a new result concerning the computational power of so-called SADn computers, a class of Turing-machine-based computers that can perform some non-Turing computable feats by utilising the geometry of a particular kind of general relativistic spacetime. It is shown that SADn can decide n-quantifier arithmetic but not (n+1)-quantifier arithmetic, a result that reveals how neatly the SADn family maps into the Kleene arithmetical hierarchy. Introduction Axiomatising computers The power of SAD computers Remarks regarding the concept of computability.
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  29. Soraj Hongladarom (ed.) (2007). Computing and Philosophy in Asia. Cambridge Scholars Pub..
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  30. Lloyd J. Houser (1985). Documents the Domain of Library and Information Science. S.N.].
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  31. Yuk Hui (2012). What is a Digital Object? Metaphilosophy 43 (4):380-395.
    We find ourselves in a media-intensive milieu comprising networks, images, sounds, and text, which we generalize as data and metadata. How can we understand this digital milieu and make sense of these data, not only focusing on their functionalities but also reflecting on our everyday life and existence? How do these material constructions demand a new philosophical understanding? Instead of following the reductionist approaches, which understand the digital milieu as abstract entities such as information and data, this article proposes to (...)
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  32. Geoffrey Hunter (1988). What Computers Can't Do. Philosophy 63 (244):175 - 189.
    My aim in this article is to make accessible to non-mathematicians the groundwork of the theory of effective methods and unsolvable problems. The beauty of the theory is that it needs hardly any hard work to get very quickly from simple intuitive ideas to some extraordinarily interesting and surprising results.
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  33. K. Jakobs (2003). Information Technology and World Politics. Knowledge, Technology & Policy 16 (2):143-143.
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  34. Joseph Kaye, The Epistemology and Evaluation of Experience-Focused HCI.
    The topic of study of Human-Computer Interaction is constantly changing as people develop new uses for new technologies. In this thesis I present three contributions to the field of HCI that address these ongoing changes. These contributions are around the themes of epistemology, experience, and evaluation. I begin by importing from the field of Science & Technology Studies the notions of epistemology and comparative epistemology . STS researchers work from an intellectual position outside their field of study; I propose "epistemological (...)
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  35. Renato Rodrigues Kinouchi (2006). Real Confusions on Virtual Phenomena. Scientiae Studia 4 (1):139-143.
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  36. Dominic Kirkham (1999). The Frame of Meaning. Philosophy Now 24:25-26.
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  37. P. P. Kirschenmann (1970). Information and Reflection. Dordrecht,Reidel.
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  38. Bjørn Kjos-Hanssen (2003). Local Initial Segments of the Turing Degrees. Bulletin of Symbolic Logic 9 (1):26-36.
    Recent results on initial segments of the Turing degrees are presented, and some conjectures about initial segments that have implications for the existence of nontrivial automorphisms of the Turing degrees are indicated.
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  39. András Kornai (2014). Resolving the Infinitude Controversy. Journal of Logic, Language and Information 23 (4):481-492.
    A simple inductive argument shows natural languages to have infinitly many sentences, but workers in the field have uncovered clear evidence of a diverse group of ‘exceptional’ languages from Proto-Uralic to Dyirbal and most recently, Pirahã, that appear to lack recursive devices entirely. We argue that in an information-theoretic setting non-recursive natural languages appear neither exceptional nor functionally inferior to the recursive majority.
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  40. Alfred Kuhn (1961). Toward a Uniform Language of Information and Knowledge. Synthese 13 (2):127 - 153.
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  41. Jaron Lanier, A Wired World.
    PAUL SOLMAN: Let's begin with a look at some estimates of Internet use and how it's been exploding in the past year. Our numbers come from a variety of sources. About 80% of Americans now have personal computers. About 100 million people are online and at last count the Net was adding 38 new users every second. Some 55 million Americans log on to the Internet, in a typical day. About 40% of them check their e-mail every day. About 30% (...)
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  42. Gilson Lima (2003). El Renacimiento de la Sociología. Cinta de Moebio 17.
    The potential of the computer methodologies for the sociology becomes more and more evident, as well as it is more and more evident that the same sociology is more and more immerse in a society of the knowledge whose main fuel is the information and its reflexive structuring and communicative. The i..
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  43. John F. Loase (1986). Pure Thought in Its Relationship to the Development of the Digital Computer. Thought: A Journal of Philosophy 61 (4):412-429.
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  44. John Mann (1995). Philos-Surfing the Internet. Philosophy Now 13:13-17.
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  45. Gerard McCartney (1983). Some Considerations Concerning Computers. The Maynooth Review / Revieú Mhá Nuad 8:17 - 24.
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  46. Warren S. McCulloch (1955). Information in the Head. Synthese 9 (1):233 - 247.
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  47. William J. McKinney (1997). The Educational Use of Computer Based Science Simulations: Some Lessons From the Philosophy of Science. Science and Education 6 (6):591-603.
    Examines some of the potential and some of the problems inherent in using computerized simulations in science and science studies classes by applying lessons from the epistemology of science. While computer simulations are useful pedagogical tools, they are not experiments and thus are of only limited utility as substitutes for actual laboratories. Contains 20 references. (Author/PVD).
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  48. Mara Miller, Comparative Informatics: Disaster Management, Trauma, and Information Science.
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  49. Brian D. Monahan & Sandra E. Belkin (1986). Expert-System Software and Knowledge-Intensive Problem Solving. Thought: A Journal of Philosophy 61 (4):497-507.
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  50. Bradley Monton (2010). Common-Sense Realism and the Unimaginable Otherness of Science. Principia 11 (2):117-126.
    Bas van Fraassen endorses both common - sense realism — the view, roughly, that the ordinary macroscopic objects that we take to exist actually do exist — and constructive empiricism — the view, roughly, that the aim of science is truth about the observable world. But what happens if common - sense realism and science come into conflict? I argue that it is reasonable to think that they could come into conflict, by giving some motivation for a mental monist solution (...)
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