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  1. R. J. Baxter (1972). On Unlimited Register Machines. Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 18 (7):97-102.
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    Computation and Physical Systems
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    Theory of Computation
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  2. Anthony F. Beavers (2011). Recent Developments in Computing and Philosophy. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 42 (2):385-397.
    Because the label "computing and philosophy" can seem like an ad hoc attempt to tie computing to philosophy, it is important to explain why it is not, what it studies (or does) and how it differs from research in, say, "computing and history," or "computing and biology". The American Association for History and Computing is "dedicated to the reasonable and productive marriage of history and computer technology for teaching, researching and representing history through scholarship and public history" (http://theaahc.org). More pervasive, (...)
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    Theory of Computation
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  3. Robert E. Beck (2015). Computing for the Social Good. Acm Sigcas Computers and Society 45 (2):43-43.
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  4. Adam Biela (1971). The Information Theory Aspect of Problem Solving. Roczniki Filozoficzne 19 (4):77.
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  5. Edwin H. Blake & William D. Tucker (2005). User Interfaces for Communication Bridges Across the Digital Divide. AI and Society 20 (2):232-242.
    Connecting people across the digital divide is as much a social effort as a technological one. We are developing a community-centred approach to learn how interaction techniques can compensate for poor communication across the digital divide. We have incorporated the lessons learned regarding social intelligence design in an abstraction and in a device called the SoftBridge. The SoftBridge allows communication to flow from endpoints through adapters, getting converted if necessary, and out to destination endpoints. Field trials are underway with two (...)
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    Theory of Computation
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  6. Chris Boyne (1994). Notes Towards a Definition of Human-Centred Computing. AI and Society 8 (1):60-70.
    Current usage of the expression “human-centred” in computing contexts suffers from a lack of clarity, and involves internal contradictions. It is not enough to base the concept of human-centredness on ideas of social utility, collaborative working or human controllability. However, the concept of human action (which embodies reference to human freedom) provides a theoretical underpinning to human-centredness by combining, from a human standpoint, concern with process and concern with goals. This has consequences for the design process, prompting us to include (...)
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  7. Enrico Cambiaso, Gianluca Papaleo, Giovanni Chiola & Maurizio Aiello (forthcoming). Mobile Executions of Slow DoS Attacks. Logic Journal of the IGPL:jzv043.
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  8. Allyson Carlyle, The Policeman's Beard Was What? Representation and Reality in Knowledge Organization and Description.
    Information professionals describing resources are often faced with decisions around a resource’s formal identifying characteristics. Sometimes these characteristics, such as title or publication date, present information known to be deceptive, incorrect, or untrue in some way. Sometimes facts needed to identify the resource or help a user understand its nature are missing or incomplete. This paper identifies four ways resources fail to fully identify themselves, through unintentional error or inaccuracy; deception; simplifying complex reality; or humorous representation. It presents four categories (...)
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  9. Werner Ceusters & Barry Smith (2015). Aboutness: Towards Foundations for the Information Artifact Ontology. In Proceedings of the Sixth International Conference on Biomedical Ontology (ICBO). CEUR vol. 1515. pp. 1-5.
    The Information Artifact Ontology (IAO) was created to serve as a domain‐neutral resource for the representation of types of information content entities (ICEs) such as documents, data‐bases, and digital im‐ages. We identify a series of problems with the current version of the IAO and suggest solutions designed to advance our understanding of the relations between ICEs and associated cognitive representations in the minds of human subjects. This requires embedding IAO in a larger framework of ontologies, including most importantly the Mental (...)
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  10. Inkyung Choi, Is User Studies User-Oriented? Domain Analytic Approach to User Studies in Information Organization.
    In this study, the use of user studies in information organization and a desired future direction can be visualized by investigating how user studies have been shaped in ISKO proceedings from 1990 to 2012. Also, the author suggested a holistic view of user in information system.
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  11. R. Cohen, R. Rawat, W. Sun, D. Wang, M. Wexler, D. Y. Lam, N. Agarwal, M. Cormier, J. Jagdev, T. Jin, M. Kukreti, J. Liu & K. Rahim (2014). Using Computer Technology to Address the Problem of Cyberbullying. Acm Sigcas Computers and Society 44 (2):52-61.
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    Theory of Computation
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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. Hidde de Jong, Nicolaas Mars & Paul van der Vet (1999). Computer-Supported Resolution of Measurement Conflicts: A Case-Study in Materials Science. [REVIEW] Foundations of Science 4 (4):427-461.
    Resolving conflicts between different measurements ofa property of a physical system may be a key step in a discoveryprocess. With the emergence of large-scale databases and knowledgebases with property measurements, computer support for the task ofconflict resolution has become highly desirable. We will describe amethod for model-based conflict resolution and the accompanyingcomputer tool KIMA, which have been applied in a case-study inmaterials science. In order to be a useful aid to scientists, the toolneeds to be integrated with other tools in (...)
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  19. Javier de la Cueva (2015). Manual del Ciberactivista. Teoría y práctica de las acciones micropolíticas. Bandaàparte Editores.
    El contenido de la obra se halla dividido en dos partes, una primera teórica y otra segunda práctica. En la primera parte se realiza una explicación analítica del ciberactivismo mientras que la segunda se centra en reflexiones sobre aspectos concretos que pudieran ser útiles para quien desee planificar alguna acción.
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  20. Jos de Mul (2010). Cyberspace Odyssey: Towards a Virtual Ontology and Anthropology. Cambridge Scholars Press.
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  21. I. De Sola Pool, S. McIntosh & D. Griffel (1969). On the Design of Computer-Based Information Systems. Social Science Information 8 (5):69-118.
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  22. 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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  23. Jill Denner, Jacob Martinez & Lou Ann Lyon (2015). Computing for the Social Good. Acm Sigcas Computers and Society 45 (2):31-32.
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  24. J. Dijck (2000). Digital Cadavers: The Visible Human Project as Anatomical Theater. Studies in History and Philosophy of Science Part C 31 (2):271-285.
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  25. G. Richard Dimler (1986). Introduction: The Computer and the Future. Thought: A Journal of Philosophy 61 (4):399-400.
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  26. 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. pp. 146-157.
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  27. Gordana Dodig-Crnkovic (2009). European Computing and Philosophy. The Reasoner 3.
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  28. Stephen Downes (1987). Human-Computer Interaction: A Critical Synthesis. Social Epistemology 1 (1):27 – 36.
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  29. 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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  30. 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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  31. 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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  32. Stacey Edgar (1997). The Artificial Intelligensia and Virtual Worlds. Acm Sigcas Computers and Society 27 (2):27-31.
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  33. Bruce Edmonds, The Collection of Computer Science Bibliographies.
    The main search engine has been changed (including RSS queries). The default logic operator is "OR" now (may look strange when results are sorted by year). Please report all noticed errors, misfeatures or omissions you notice. Thanks!
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  34. Paul N. Edwards (1998). Virtual Machines, Virtual Infrastructures: The New Historiography of Information TechnologyComputer: A History of the Information MachineMartin Campbell-Kelly William AsprayInformation Technology as Business History: Issues in the History and Management of ComputersJames W. CortadaTransforming Computer Technology: Information Processing for the Pentagon, 1962-1986Arthur L. Norberg Judy E. O'NeillWhere Wizards Stay Up Late: The Origins of the InternetKatie Hafner Matthew LyonTrapped in the Net: The Unanticipated Consequences of ComputerizationGene I. RochlinThe Trouble with Computers: Usefulness, Usability, and ProductivityThomas K. Landauer. [REVIEW] Isis 89 (1):93-99.
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  35. 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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  36. 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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  37. A. Failla & S. Bagnara (1992). Information Technology, Decision, Time. Social Science Information 31 (4):669-681.
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  38. Falby, Barham, Locke & Pratt (1995). NPSNET: Four User Interface Paradigms for Entity Control in a Virtual World. Journal of Intelligent Systems 5 (2-4):89-110.
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  39. Hassan A. Farhat (2004). Digital Design and Computer Organization.
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  40. 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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  41. Jeanne Ferrante (1974). Some Upper and Lower Bounds on Decision Procedures in Logic. Project Mac, Massachusetts Institute of Technology.
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  42. Catherine Flick (2015). Mentorship in Computer Ethics. Journal of Information, Communication and Ethics in Society 13 (3/4):326-345.
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  43. 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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  44. Erol Gelenbe, Samson Abramsky & Vladimiro Sassone (eds.) (2008). Visions of Computer Science. British Computer Society.
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  45. Melissa M. Goldstein & David Blumenthal (2008). Building an Information Technology Infrastructure. Journal of Law, Medicine and Ethics 36 (4):709-715.
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  46. 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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  47. 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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  48. Wendy M. Grossman (2014). Big Data. The Philosophers' Magazine 66:23-24.
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  49. Brian R. Hall (2014). A Synthesized Definition of Computer Ethics. Acm Sigcas Computers and Society 44 (3):21-35.
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  50. Jeremy Hall & Philip Rosson (2006). The Impact of Technological Turbulence on Entrepreneurial Behavior, Social Norms and Ethics: Three Internet-Based Cases. 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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