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  1. Jon Agar (1998). Computer: A History of the Information Machine. [REVIEW] British Journal for the History of Science 31 (3):361-375.
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    Computation and Physical Systems
     Analog and Digital Computation
     Computers
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     Pancomputationalism
     Quantum Computation
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     Computation and Physical Systems, Misc
    Computer Ethics
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     Machine Ethics
     Internet 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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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
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  2. Varol Akman & Mujdat Pakkan (1996). Nonstandard Set Theories and Information Management. Philosophical Explorations.
    The merits of set theory as a foundational tool in mathematics stimulate its use in various areas of artificial intelligence, in particular intelligent information systems. In this paper, a study of various nonstandard treatments of set theory from this perspective is offered. Applications of these alternative set theories to information or knowledge management are surveyed.
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    Computation and Physical Systems
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     Quantum Computation
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    Computer Ethics
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     Machine Ethics
     Internet Ethics
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    Computer Simulation and Virtual Reality
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     Are We in a Simulation?
     Virtual Reality
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    Phil of Artificial Intelligence
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
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     Computational Complexity
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  3. Mark Alfino, Breaking Managerial Information Monopolies: Ethical Considerations in Setting Workplace Information Policy.
    Readers of previous installments of this column will recall that I have been discussing both the general relationship between information practices and moral virtues and some specific questions about the effects of information technology, such as the "expert system," upon our ability to lead virtuous lives and have morally satisfying work. In this column, I want to take a practical turn by articulating some of the ethical considerations which might motivate workplace information policy.
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    Theory of Computation
     The Church-Turing Thesis
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     Computability
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     Theory of Computation, Misc
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  4. Mark Alfino, The Ethical Library: Responsibility for Our Users and Staff in the Information Age.
    In this presentation, our goals are to identify some of the ways in which information technology poses a threat to librarians' professional identity and to develop a theory about the role that it should play. In the process of doing that we will identify organizational processes which may help librarians negotiate technological change, both within their profession and with their patrons. (For simplicity, we will use the phrase "information technology" to refer to contemporary trends in electronic or cybernetic information technology. (...)
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    Theory of Computation
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  5. Florence Appel (1998). Including the Social and Ethical Implications of Computing in the Computer Science Curriculum. Acm Sigcas Computers and Society 28 (2):56-57.
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     Information-Based Accounts of Mental Content
     Genetic Information
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     Quantum Information
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     Phil of Information, Misc
    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
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  6. Robert Artigiani (1997). Interaction, Information and Meaning. World Futures 50 (1):703-714.
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    Computer Simulation and Virtual Reality
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     Genetic Information
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    Theory of Computation
     The Church-Turing Thesis
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  7. Robert L. Ashenhurst (1996). Ontological Aspects of Information Modeling. Minds and Machines 6 (3):287-394.
    Information modeling (also known as conceptual modeling or semantic data modeling) may be characterized as the formulation of a model in which information aspects of objective and subjective reality are presented (the application), independent of datasets and processes by which they may be realized (the system).A methodology for information modeling should incorporate a number of concepts which have appeared in the literature, but should also be formulated in terms of constructs which are understandable to and expressible by the system user (...)
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     Genetic Information
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
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  8. A. Basden, Philosophical Frameworks for Understanding Information Systems.
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     Genetic Information
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    Theory of Computation
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  9. Andy Bissett (1997). Computing Professionals and the 'Peace Dividend'. Business Ethics 6 (2):81–86.
    For the last four decades much of the world’s most advanced technical resources have been devoted to military systems; but with the end of the Cold War economic and technical resources are being freed to yield the so‐called ‘peace dividend’. This promotes the possibility of a more ethical orientation to many information technologists’ work, and also represents the chance to argue for, and develop, more socially useful and responsible applications of computer technology, in accordance with the development of professional ideals (...)
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     Genetic Information
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     Quantum Information
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
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  10. Philip Brey (2005). The Epistemology and Ontology of Human-Computer Interaction. Minds and Machines 15 (3-4):383-398.
    This paper analyzes epistemological and ontological dimensions of Human-Computer Interaction (HCI) through an analysis of the functions of computer systems in relation to their users. It is argued that the primary relation between humans and computer systems has historically been epistemic: computers are used as information-processing and problem-solving tools that extend human cognition, thereby creating hybrid cognitive systems consisting of a human processor and an artificial processor that process information in tandem. In this role, computer systems extend human cognition. Next, (...)
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     Genetic Information
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
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  11. Søren Brier, Cybersemiotics and the Problems of the Information-Processing Paradigm as a Candidate for a Unified Science of Information Behind Library Information Science.
    As an answer to the humanistic, socially oriented critique of the information-processing paradigms used as a conceptual frame for library information science, this article formulates a broader and less objective concept of communication than that of the information-processing paradigm. Knowledge can be seen as the mental phenomenon that documents (combining signs into text, depending on the state of knowledge of the recipient) can cause through interpretation. The examination of these “correct circumstances” is an important part of information science. This article (...)
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    Theory of Computation
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     Algorithmic Complexity
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     Hypercomputation
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  12. J. Brockman, Artificial, Self-Replicating Meme Machines.
    All around us the techno-memes are proliferating, and gearing up to take control; not that they realise it; they are just selfish replicators doing what selfish replicators do – getting copied whenever and wherever they can, regardless of the consequences. In this case they are using us human meme machines as their first stage copying machinery, until something better comes along. Artificial meme machines are improving all the time, and the step that will change everything is when these machines become (...)
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
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  13. Jenny Bronstein (2007). Current Trends in Library and Information Studies Curricula Around the World: Looking for the User-Centred Approach. Journal of Information, Communication and Ethics in Society 5 (2/3):59-78.
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  14. John Budd (2001). Knowledge and Knowing in Library and Information Science: A Philosophical Framework. Scarecrow Press.
    This landmark work traces the heritage of thought, from the beginnings of modern science in the seventeenth century, until today, that has influenced the profession of library and information science.
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  15. Mark Burgin & Gordana Dodig-Crnkovic (2013). From the Closed Classical Algorithmic Universe to an Open World of Algorithmic Constellations. In Gordana Dodig-Crnkovic Raffaela Giovagnoli (ed.), Computing Nature. 241--253.
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  16. R. Caussin & W. F. Chamberlin (1959). The Transfer of Functions From Man To Machine. Diogenes 7 (28):107-125.
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  17. 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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  18. P. A. Danielson (2011). Prototyping N-Reasons: A Computer Mediated Ethics Machine. In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press. 9.
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  19. 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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  20. 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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  21. 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.), Cyberphilosophy: The Intersection of Philosophy and Computing. Blackwell Pub.. 146-157.
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  22. 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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  23. 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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  24. Stacey Edgar (1997). The Artificial Intelligensia and Virtual Worlds. Acm Sigcas Computers and Society 27 (2):27-31.
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  25. 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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  26. Hassan A. Farhat (2004). Digital Design and Computer Organization. Monograph Collection (Matt - Pseudo).
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  27. 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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  28. Jeanne Ferrante (1974). Some Upper and Lower Bounds on Decision Procedures in Logic. Project Mac, Massachusetts Institute of Technology.
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  29. 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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  30. Erol Gelenbe, Samson Abramsky & Vladimiro Sassone (eds.) (2008). Visions of Computer Science. British Computer Society.
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  31. 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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  32. 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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  33. 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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  34. 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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  35. Soraj Hongladarom (ed.) (2007). Computing and Philosophy in Asia. Cambridge Scholars Pub..
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  36. Lloyd J. Houser (1985). Documents the Domain of Library and Information Science. S.N.].
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  37. 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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  38. 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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  39. K. Jakobs (2003). Information Technology and World Politics. Knowledge Technology and Policy 16 (2):143-143.
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  40. Renato Rodrigues Kinouchi (2006). Real Confusions on Virtual Phenomena. Scientiae Studia 4 (1):139-143.
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  41. Dominic Kirkham (1999). The Frame of Meaning. Philosophy Now 24:25-26.
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  42. P. P. Kirschenmann (1970). Information and Reflection. Dordrecht,Reidel.
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  43. 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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  44. 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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  45. 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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  46. 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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  47. John F. Loase (1986). Pure Thought in Its Relationship to the Development of the Digital Computer. Thought 61 (4):412-429.
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  48. John Mann (1995). Philos-Surfing the Internet. Philosophy Now 13:13-17.
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  49. Gerard McCartney (1983). Some Considerations Concerning Computers. The Maynooth Review / Revieú Mhá Nuad 8:17 - 24.
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  50. Warren S. McCulloch (1955). Information in the Head. Synthese 9 (1):233 - 247.
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