Search results for 'Philosophy Data processing' (try it on Scholar)

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  1. Judith Slein (1984). Philosophy and Data Processing. International Journal of Applied Philosophy 2 (1):75-84.score: 444.0
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  2. James Moor & Terrell Ward Bynum (eds.) (2002). Cyberphilosophy: The Intersection of Philosophy and Computing. Blackwell Pub..score: 234.0
    This cutting edge volume provides an overview of the dynamic new field of cyberphilosophy – the intersection of philosophy and computing.
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  3. Aaron Sloman (1978). The Computer Revolution in Philosophy: Philosophy Science and Models of Mind. Harvester.score: 225.0
    Since 1991 the author has been Professor of Artificial Intelligence and Cognitive Science in the School of Computer Science at the University of Birmingham, UK.
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  4. Terrell Ward Bynum & James Moor (eds.) (1998). The Digital Phoenix: How Computers Are Changing Philosophy. Blackwell Publishers.score: 225.0
    This important book, which results from a series of presentations at American Philosophical Association conferences, explores the major ways in which computers ...
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  5. D. Bruce Anderson (ed.) (1974). After Leibniz ...: Discussions on Philosophy and Artificial Intelligence. Available From the National Technical Information Service.score: 225.0
     
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  6. Leslie Burkholder (ed.) (1992). Philosophy and the Computer. Westview Press.score: 225.0
  7. Chris Fox (2005). Foundations of Intensional Semantics. Blackwell Pub..score: 183.0
    This book provides a systematic study of three foundational issues in the semantics of natural language that have been relatively neglected in the past few decades. focuses on the formal characterization of intensions, the nature of an adequate type system for natural language semantics, and the formal power of the semantic representation language proposes a theory that offers a promising framework for developing a computational semantic system sufficiently expressive to capture the properties of natural language meaning while remaining computationally tractable (...)
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  8. Riccardo Pozzo & Marco Sgarbi (eds.) (2011). Begriffs-, Ideen- Und Problemgeschichte Im 21. Jahrhundert. Harrassowitz Verlag, in Kommission.score: 180.0
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  9. Douglas S. Robertson (2003). Phase Change: The Computer Revolution in Science and Mathematics. Oxford University Press.score: 174.0
    Robertson's earlier work, The New Renaissance projected the likely future impact of computers in changing our culture. Phase Change builds on and deepens his assessment of the role of the computer as a tool driving profound change by examining the role of computers in changing the face of the sciences and mathematics. He shows that paradigm shifts in understanding in science have generally been triggered by the availability of new tools, allowing the investigator a new way of seeing into questions (...)
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  10. D. Napoletani, M. Panza & D. Struppa (2011). Agnostic Science. Towards a Philosophy of Data Analysis. Foundations of Science 16 (1):1-20.score: 174.0
    In this paper we will offer a few examples to illustrate the orientation of contemporary research in data analysis and we will investigate the corresponding role of mathematics. We argue that the modus operandi of data analysis is implicitly based on the belief that if we have collected enough and sufficiently diverse data, we will be able to answer most relevant questions concerning the phenomenon itself. This is a methodological paradigm strongly related, but not limited to, biology, (...)
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  11. D. C. Struppa (2011). Agnostic Science. Towards a Philosophy of Data Analysis. Foundations of Science 16 (1):1-20.score: 174.0
    In this paper we will offer a few examples to illustrate the orientation of contemporary research in data analysis and we will investigate the corresponding role of mathematics. We argue that the modus operandi of data analysis is implicitly based on the belief that if we have collected enough and sufficiently diverse data, we will be able to answer most relevant questions concerning the phenomenon itself. This is a methodological paradigm strongly related, but not limited to, biology, (...)
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  12. Bernhard Pfahringer, Geoffrey Holmes & Achim Hoffmann (eds.) (2010). Discovery Science: 13th International Conference, Ds 2010, Canberra, Australia, October 6-8, 2010: Proceedings. Springer.score: 174.0
    The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form.
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  13. Hilde Corneliussen (2011). Gender-Technology Relations: Exploring Stability and Change. Palgrave Macmillan.score: 174.0
    Machine generated contents note: -- Acknowledgements -- Disrupting the Impression of Stability in the Gender-Technology Relation -- Changing Images of Computers and its Users since 1980 -- Discursive Developments Within Computer Education -- Variations in Gender-ICT Relations Among Male and Female Computer Students -- Stories About Individual Change and Transformation -- Layered Meanings and Differences Within -- Is there an Elsewhere? -- References -- Endnotes -- Index.
     
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  14. R. Buckminster Fuller (1979). R. Buckminster Fuller on Education. University of Massachusetts Press.score: 174.0
     
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  15. Edgar Selzer (2011). Denn der Mensch Ist Mehr Als Sein Computer: Warum Die Turing-Maschine Das Wittgenstein'sche Sprachspiel Nicht Bewältigen Kann. Trauner.score: 174.0
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  16. Colin Beardon (1994). Computers, Postmodernism and the Culture of the Artificial. AI and Society 8 (1):1-16.score: 171.0
    The term ‘the artificial’ can only be given a precise meaning in the context of the evolution of computational technology and this in turn can only be fully understood within a cultural setting that includes an epistemological perspective. The argument is illustrated in two case studies from the history of computational machinery: the first calculating machines and the first programmable computers. In the early years of electronic computers, the dominant form of computing was data processing which was a (...)
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  17. M. Patharkar (2011). From Data Processing to Mental Organs: An Interdisciplinary Path to Cognitive Neuroscience. Mens Sana Monographs 9 (1):218.score: 168.0
    Human brain is a highly evolved coordinating mechanism in the species Homo sapiens. It is only in the last 100 years that extensive knowledge of the intricate structure and complex functioning of the human brain has been acquired, though a lot is yet to be known. However, from the beginning of civilisation, people have been conscious of a 'mind' which has been considered the origin of all scientific and cultural development. Philosophers have discussed at length the various attributes of consciousness. (...)
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  18. Gary Hatfield (2002). Sense-Data and the Philosophy of Mind: Russell, James, and Mach. Principia 6 (2):203-230.score: 156.0
    The theory of knowledge in early twentieth-century Anglo Amencan pht losophy was orzented toward phenomenally descnbed cognition There was a healthy respect for the mind body problem, which meant that phenomena in both the mental and physzcal domam were talcen senously Bertrand Russell's developmg positzon on sense-data and momentary particulars drew upcm, and ultimately became lzke, the neutral monism of Ernst Mach and William James Due to a more iecent behavzonst and physicalist inspired "fear of the mental", this development (...)
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  19. David B. Resnik (2013). Data Fabrication and Falsification and Empiricist Philosophy of Science. Science and Engineering Ethics 20 (2):1-9.score: 156.0
    Scientists have rules pertaining to data fabrication and falsification that are enforced with significant punishments, such as loss of funding, termination of employment, or imprisonment. These rules pertain to data that describe observable and unobservable entities. In this commentary I argue that scientists would not adopt rules that impose harsh penalties on researchers for data fabrication or falsification unless they believed that an aim of scientific research is to develop true theories and hypotheses about entities that exist, (...)
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  20. Philipp Ruhnau, Björn Herrmann, Burkhard Maess, Jens Brauer, Angela Dorkas Friederici & Erich Schröger (2013). Processing of Complex Distracting Sounds in School-Aged Children and Adults: Evidence From EEG and MEG Data. Frontiers in Psychology 4.score: 156.0
    When a perceiver performs a task, rarely occurring sounds often have a distracting effect on task performance. The neural mismatch responses in event-related potentials to such distracting stimuli depend on age. Adults commonly show a negative response, whereas in children a positive as well as a negative mismatch response has been reported. Using electro- and magnetoencephalography (EEG/MEG), here we investigated the developmental changes of distraction processing in school-aged children (9–10 years) and adults. Participants took part in an auditory-visual distraction (...)
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  21. I. J. Good (1983). The Philosophy of Exploratory Data Analysis. Philosophy of Science 50 (2):283-295.score: 150.0
    This paper attempts to define Exploratory Data Analysis (EDA) more precisely than usual, and to produce the beginnings of a philosophy of this topical and somewhat novel branch of statistics. A data set is, roughly speaking, a collection of k-tuples for some k. In both descriptive statistics and in EDA, these k-tuples, or functions of them, are represented in a manner matched to human and computer abilities with a view to finding patterns that are not "kinkera". A (...)
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  22. William F. Brewer & Clark A. Chinn (1994). Scientists' Responses to Anomalous Data: Evidence From Psychology, History, and Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:304 - 313.score: 150.0
    This paper presents an analysis of the forms of response that scientists make when confronted with anomalous data. We postulate that there are seven ways in which an individual who currently holds a theory can respond to anomalous data: (1) ignore the data; (2) reject the data; (3) exclude the data from the domain of the current theory; (4) hold the data in abeyance; (5) reinterpret the data; (6) make peripheral changes to the (...)
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  23. Dag Elgesem (1999). The Structure of Rights in Directive 95/46/EC on the Protection of Individuals with Regard to the Processing of Personal Data and the Free Movement of Such Data. [REVIEW] Ethics and Information Technology 1 (4):283-293.score: 144.0
    The paper has three parts. First, a survey and analysis is given ofthe structure of individual rights in the recent EU Directive ondata protection. It is argued that at the core of this structure isan unexplicated notion of what the data subject can `reasonablyexpect' concerning the further processing of information about himor herself. In the second part of the paper it is argued thattheories of privacy popular among philosophers are not able to shed much light on the issues (...)
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  24. E. F. Bradley & O. T. Denmead (eds.) (1967). The Collection and Processing of Field Data. New York, Interscience Publishers.score: 144.0
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  25. Yann Benétreau-Dupin & Guillaume Beaulac (forthcoming). Fair Numbers: What Data Can and Cannot Tell Us About the Underrepresentation of Women in Philosophy. Ergo.score: 144.0
    The low representation of women in philosophy (<30%) in English-speaking countries has generated much discussion, both in academic circles and the public sphere. It is sometimes suggested (Haslanger, 2009) that unconscious biases, acting at every level in the field, may be grounded in gendered schemas of philosophers and the discipline more widely and that actions to make philosophy a more welcoming place for women should address such schemas. However, existing data are too limited to fully warrant such (...)
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  26. Marcus Cheetham, Ivana Pavlovic, Nicola Jordan, Pascal Suter & Lutz Jancke (2013). Category Processing and the Human Likeness Dimension of the Uncanny Valley Hypothesis: Eye-Tracking Data. Frontiers in Psychology 4.score: 144.0
    The Uncanny Valley Hypothesis (Mori, 1970) predicts that perceptual difficulty distinguishing between a humanlike object (e.g., lifelike prosthetic hand, mannequin) and its human counterpart evokes negative affect. Research has focussed on affect, with inconsistent results, but little is known about how objects along the hypothesis’ dimension of human likeness (DHL) are actually perceived. This study used morph continua based on human and highly realistic computer-generated (avatar) faces to represent the DHL. Total number and dwell time of fixations to facial features (...)
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  27. Tilman Lenssen-erz (1994). Facts or Fantasy? The Rock Paintings of the Brandberg, Namibia, and a Concept of Textualization for Purposes of Data Processing. Semiotica 100 (2-4):169-200.score: 140.0
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  28. Harley Shands (1973). Other-Than-Neurological Components Basic to Human Data-Processing Operations. World Futures 14 (1):13-32.score: 140.0
  29. Arthur E. Parry (1983). Data Processing Risk. Acm Sigcas Computers and Society 13 (3):14-18.score: 140.0
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  30. Judy M. Reviewer-Myerson (1991). Book Review: English-Japanese, Japanese-English Dictionary of Computer and Data Processing Terms by George Ferber (MIT Press 1989). [REVIEW] Acm Sigcas Computers and Society 21 (2-4):51.score: 140.0
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  31. Lyle R. Creamer (1963). Event Uncertainty, Psychological Refractory Period, and Human Data Processing. Journal of Experimental Psychology 66 (2):187.score: 140.0
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  32. David B. Glaeser (1968). Minimizing Turnaround Time for Test Data Processing. In. In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.. 7.score: 140.0
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  33. N. Hinske (1981). Electronic-Data-Processing and Lexicography-the Newest Brainstorm for the Application of Edp is Anticipated for Historical-Philosophical Work and Texts. Philosophisches Jahrbuch 88 (1):153-159.score: 140.0
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  34. Grigori Mints (1994). Logic and Computer Science, Edited by Odifreddi Piergiorgio, APIC Studies in Data Processing, Vol. 31, Academic Press, London, San Diego, Etc., 1990, Xii+ 430 Pp. [REVIEW] Journal of Symbolic Logic 59 (3):1111-1114.score: 140.0
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  35. Judy M. Myerson (1991). Book Review: English-Japanese, Japanese-English Dictionary of Computer and Data Processing Terms by George Ferber (MIT Press 1989). [REVIEW] Acm Sigcas Computers and Society 21 (2-4):51.score: 140.0
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  36. H. Schepers (1981). Electronic-Data-Processing Experiences in Editing. Philosophisches Jahrbuch 88 (1):159-164.score: 140.0
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  37. Anders Winroth (2006). Linda Fowler-Magerl, Clavis Canonum: Selected Canon Law Collections Before 1140. Access with Data Processing. (Monumenta Germaniae Historica, Hilfsmittel, 21.) Hannover: Hahnsche Buchhandlung, 2005. Pp. 282 Plus CD-ROM; Black-and-White Figures. €25. [REVIEW] Speculum 81 (4):1189-1190.score: 140.0
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  38. Shanshan Gu Wu & Yanfei Yu Lv (2006). Workshop on Web-Based Massive Data Processing-Session 1-Streaming Data-Modelling and Guaranteeing Quality of Service Over Data Streams. In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag. 13-24.score: 140.0
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  39. Min Li Yu & Longbo Zhang (2006). Workshop on Web-Based Massive Data Processing-Session 3-Massive Data Systems-Supporting Complex Query with Structured Overlays in Schema-Based P2P System. [REVIEW] In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag. 115-121.score: 140.0
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  40. T. N. Ganapathy (1984). Bertrand Russell's Philosophy of Sense-Data. Dept. Of Philosophy, Ramakrishna Mission Vivekananda College.score: 132.0
  41. B. Sambasiva Prasad (1984). A Critique of the Philosophy of Sense-Data. Sri Venkateswara University.score: 132.0
     
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  42. Andrew Brook & Kathleen Akins (eds.) (2005). Cognition and the Brain: The Philosophy and Neuroscience Movement. Cambridge University Press.score: 126.0
    This volume provides an up to date and comprehensive overview of the philosophy and neuroscience movement, which applies the methods of neuroscience to traditional philosophical problems and uses philosophical methods to illuminate issues in neuroscience. At the heart of the movement is the conviction that basic questions about human cognition, many of which have been studied for millennia, can be answered only by a philosophically sophisticated grasp of neuroscience's insights into the processing of information by the human brain. (...)
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  43. John R. Josephson & Susan G. Josephson (eds.) (1994). Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press.score: 126.0
    In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents (...)
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  44. Anthony F. Beavers, Luciano Floridi, Philosophy and Computing: An Introduction, Routledge, 1999.score: 126.0
    Luciano Floridi’s Philosophy and Computing: An Introduction is a survey of some important ideas that ground the newly emerging area of philosophy known, thanks to Floridi, as the philosophy of information. It was written as a textbook for philosophy students interested in the digital age, but is probably more useful for postgraduates who want to investigate intersections between philosophy and computer science, information theory and ICT (information and communications technology). The book is divided into five (...)
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  45. M. Wynn (2002). Valuing the World: The Emotions as Data for the Philosophy of Religion. [REVIEW] International Journal for Philosophy of Religion 52 (2):97-113.score: 126.0
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  46. Mary Domski (2013). Putting the Pieces Back Together Again: Reading Newton'sPrincipiathrough Newton's Method Steffen Ducheyne . “The Main Business of Natural Philosophy”: Isaac Newton's Natural-Philosophical Methodology . Dordrecht: Springer, 2012. Pp. Xxv+352. $189.00 (Cloth). William L. Harper . Isaac Newton's Scientific Method: Turning Data Into Evidence About Gravity and Cosmology . Oxford: Oxford University Press, 2011. Pp. Xviii+424. $75.00 (Cloth). [REVIEW] Hopos: The Journal of the International Society for the History of Philosophy of Science 3 (2):318-333.score: 126.0
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  47. Jeanette Lawrence (1987). Verbal Processing of the Defining Issues Test by Principled and Non-Principled Moral Reasoners. Journal of Moral Education 16 (2):117-130.score: 126.0
    Verbal processing of Defining Issues Test (DIT) ratings were obtained from three groups chosen on age and education and criterial DIT scores. Principled and non-principled items were rated while thinking aloud, and sorted for their understand-ability and endorsement for decision-making. Verbal processing and objective sorting data together showed differences in understanding and endorsement responses of high-scoring philosophy graduate students and low-scoring conservative seminarians and ninth graders. Philosophers used more principled prescriptives overall, understood and endorsed principled items (...)
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  48. Deborah Mayo & Peter Achinstein (2000). Experiment and Conceptual Change-Evidence, Data Generation, and Scientific Practice: Toward a Reliabilist Philosophy of Experiment-Why Philosophical Theories of Evidence Are (and Ought to Be). Philosophy of Science 67 (3).score: 126.0
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  49. Andy Clark (1991). Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing. Cambridge: MIT Press.score: 124.0
  50. Anthony C. Meis (2004). Deregulation of the Balance Between Data and Conceptually Driven Processing: A Shift Toward the Conceptual. Behavioral and Brain Sciences 27 (6):800-801.score: 120.0
    Behrendt & Young (B&Y) propose that a dysfunction in the reticular thalamic nucleus contributes to disinhibition of specific thalamic nuclei, allowing cortical attention mechanisms to engage thalamic relay neurons, causing underconstrained activation of the cortex and hallucinations. The following hypothesis challenges the notion of impaired sensory gating by providing the alternative view that hypofrontality reduces the power of incoming stimuli, causing internal drives to override consciousness, resulting in hallucinations.
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