Results for 'Computer'

967 found
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  1. The fortieth annual lecture series 1999-2000.Brain Computations & an Inevitable Conflict - 2000 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 31:199-200.
  2.  10
    Computer Science Logic: 11th International Workshop, CSL'97, Annual Conference of the EACSL, Aarhus, Denmark, August 23-29, 1997, Selected Papers.M. Nielsen, Wolfgang Thomas & European Association for Computer Science Logic - 1998 - Springer Verlag.
    This book constitutes the strictly refereed post-workshop proceedings of the 11th International Workshop on Computer Science Logic, CSL '97, held as the 1997 Annual Conference of the European Association on Computer Science Logic, EACSL, in Aarhus, Denmark, in August 1997. The volume presents 26 revised full papers selected after two rounds of refereeing from initially 92 submissions; also included are four invited papers. The book addresses all current aspects of computer science logics and its applications and thus (...)
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  3. Section 2. Model Theory.Va Vardanyan, On Provability Resembling Computability, Proving Aa Voronkov & Constructive Logic - 1989 - In Jens Erik Fenstad, Ivan Timofeevich Frolov & Risto Hilpinen, Logic, methodology, and philosophy of science VIII: proceedings of the Eighth International Congress of Logic, Methodology, and Philosophy of Science, Moscow, 1987. New York, NY, U.S.A.: Sole distributors for the U.S.A. and Canada, Elsevier Science.
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  4. Learning Computer Networks Using Intelligent Tutoring System.Mones M. Al-Hanjori, Mohammed Z. Shaath & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1).
    Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation (...)
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  5. Computer Science and Metaphysics: A Cross-Fertilization.Edward N. Zalta, Christoph Benzmüller & Daniel Kirchner - 2019 - Open Philosophy 2 (1):230-251.
    Computational philosophy is the use of mechanized computational techniques to unearth philosophical insights that are either difficult or impossible to find using traditional philosophical methods. Computational metaphysics is computational philosophy with a focus on metaphysics. In this paper, we (a) develop results in modal metaphysics whose discovery was computer assisted, and (b) conclude that these results work not only to the obvious benefit of philosophy but also, less obviously, to the benefit of computer science, since the new computational (...)
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  6.  17
    Computer vision.Michael Brady - 1982 - Artificial Intelligence 19 (1):7-16.
  7.  7
    A Model for Proustian Decay.Computer Lars - 2024 - Nordic Journal of Aesthetics 33 (67).
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  8. Randomness and Recursive Enumerability.Siam J. Comput - unknown
    One recursively enumerable real α dominates another one β if there are nondecreasing recursive sequences of rational numbers (a[n] : n ∈ ω) approximating α and (b[n] : n ∈ ω) approximating β and a positive constant C such that for all n, C(α − a[n]) ≥ (β − b[n]). See [R. M. Solovay, Draft of a Paper (or Series of Papers) on Chaitin’s Work, manuscript, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, 1974, p. 215] and [G. J. (...)
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  9. Disclosive computer ethics.Philip Brey - 2000 - Acm Sigcas Computers and Society 30 (4):10-16.
    This essay provides a critique of mainstream computer ethics and argues for the importance of a complementary approach called disclosive computer ethics, which is concerned with the moral deciphering of embedded values and norms in computer systems, applications and practices. Also, four key values are proposed as starting points for disclosive studies in computer ethics: justice, autonomy, democracy and privacy. Finally, it is argued that research in disclosive computer ethics should be multi-level and interdisciplinary, distinguishing (...)
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  10.  27
    The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind.Aaron Sloman - 1978 - British Journal for the Philosophy of Science 30 (3):302-304.
  11. Three paradigms of computer science.Amnon H. Eden - 2007 - Minds and Machines 17 (2):135-167.
    We examine the philosophical disputes among computer scientists concerning methodological, ontological, and epistemological questions: Is computer science a branch of mathematics, an engineering discipline, or a natural science? Should knowledge about the behaviour of programs proceed deductively or empirically? Are computer programs on a par with mathematical objects, with mere data, or with mental processes? We conclude that distinct positions taken in regard to these questions emanate from distinct sets of received beliefs or paradigms within the discipline: (...)
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  12.  23
    Backgammon computer program beats world champion.Hans J. Berliner - 1980 - Artificial Intelligence 14 (2):205-220.
  13.  24
    Computer Simulations Then and Now: an Introduction and Historical Reassessment.Arianna Borrelli & Janina Wellmann - 2019 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 27 (4):407-417.
  14. Computer Simulations, Machine Learning and the Laplacean Demon: Opacity in the Case of High Energy Physics.Florian J. Boge & Paul Grünke - forthcoming - In Andreas Kaminski, Michael Resch & Petra Gehring, The Science and Art of Simulation II.
    In this paper, we pursue three general aims: (I) We will define a notion of fundamental opacity and ask whether it can be found in High Energy Physics (HEP), given the involvement of machine learning (ML) and computer simulations (CS) therein. (II) We identify two kinds of non-fundamental, contingent opacity associated with CS and ML in HEP respectively, and ask whether, and if so how, they may be overcome. (III) We address the question of whether any kind of opacity, (...)
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  15. Computer Simulations as Scientific Instruments.Ramón Alvarado - 2022 - Foundations of Science 27 (3):1183-1205.
    Computer simulations have conventionally been understood to be either extensions of formal methods such as mathematical models or as special cases of empirical practices such as experiments. Here, I argue that computer simulations are best understood as instruments. Understanding them as such can better elucidate their actual role as well as their potential epistemic standing in relation to science and other scientific methods, practices and devices.
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  16. Computer knows best? The need for value-flexibility in medical AI.Rosalind J. McDougall - 2019 - Journal of Medical Ethics 45 (3):156-160.
    Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethicists. In this paper, I focus specifically on the relationship between the ethical ideal of shared decision making and AI systems that generate treatment recommendations, using the example of IBM’s Watson for Oncology. I argue that use of this type of system (...)
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  17. Hacking the brain: brain–computer interfacing technology and the ethics of neurosecurity.Marcello Ienca & Pim Haselager - 2016 - Ethics and Information Technology 18 (2):117-129.
    Brain–computer interfacing technologies are used as assistive technologies for patients as well as healthy subjects to control devices solely by brain activity. Yet the risks associated with the misuse of these technologies remain largely unexplored. Recent findings have shown that BCIs are potentially vulnerable to cybercriminality. This opens the prospect of “neurocrime”: extending the range of computer-crime to neural devices. This paper explores a type of neurocrime that we call brain-hacking as it aims at the illicit access to (...)
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  18. Do computer simulations support the Argument from Disagreement?Aron Vallinder & Erik J. Olsson - 2013 - Synthese 190 (8):1437-1454.
    According to the Argument from Disagreement (AD) widespread and persistent disagreement on ethical issues indicates that our moral opinions are not influenced by moral facts, either because there are no such facts or because there are such facts but they fail to influence our moral opinions. In an innovative paper, Gustafsson and Peterson (Synthese, published online 16 October, 2010) study the argument by means of computer simulation of opinion dynamics, relying on the well-known model of Hegselmann and Krause (J (...)
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  19. Are computer simulations experiments? And if not, how are they related to each other?Claus Beisbart - 2018 - European Journal for Philosophy of Science 8 (2):171-204.
    Computer simulations and experiments share many important features. One way of explaining the similarities is to say that computer simulations just are experiments. This claim is quite popular in the literature. The aim of this paper is to argue against the claim and to develop an alternative explanation of why computer simulations resemble experiments. To this purpose, experiment is characterized in terms of an intervention on a system and of the observation of the reaction. Thus, if (...) simulations are experiments, either the computer hardware or the target system must be intervened on and observed. I argue against the first option using the non-observation argument, among others. The second option is excluded by e.g. the over-control argument, which stresses epistemological differences between experiments and simulations. To account for the similarities between experiments and computer simulations, I propose to say that computer simulations can model possible experiments and do in fact often do so. (shrink)
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  20. The general problem of the primitive was finally solved in 1912 by A. Den-joy. But his integration process was more complicated than that of Lebesgue. Denjoy's basic idea was to first calculate the definite integral∫ b. [REVIEW]How to Compute Antiderivatives - 1995 - Bulletin of Symbolic Logic 1 (3).
     
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  21.  68
    (1 other version)Computer Simulation in the Physical Sciences.Fritz Rohrlich - 1990 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:507-518.
    Computer simulation is shown to be philosophically interesting because it introduces a qualitatively new methodology for theory construction in science different from the conventional two components of "theory" and "experiment and/or observation". This component is "experimentation with theoretical models." Two examples from the physical sciences are presented for the purpose of demonstration but it is claimed that the biological and social sciences permit similar theoretical model experiments. Furthermore, computer simulation permits theoretical models for the evolution of physical systems (...)
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  22.  24
    Computer analysis of dislocated spherical crystal surfaces.D. G. Brandon & A. J. Perky - 1967 - Philosophical Magazine 16 (139):131-140.
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  23. The philosophical novelty of computer simulation methods.Paul Humphreys - 2009 - Synthese 169 (3):615 - 626.
    Reasons are given to justify the claim that computer simulations and computational science constitute a distinctively new set of scientific methods and that these methods introduce new issues in the philosophy of science. These issues are both epistemological and methodological in kind.
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  24. Computer Simulations as Experiments.Anouk Barberousse, Sara Franceschelli & Cyrille Imbert - 2009 - Synthese 169 (3):557 - 574.
    Whereas computer simulations involve no direct physical interaction between the machine they are run on and the physical systems they are used to investigate, they are often used as experiments and yield data about these systems. It is commonly argued that they do so because they are implemented on physical machines. We claim that physicality is not necessary for their representational and predictive capacities and that the explanation of why computer simulations generate desired information about their target system (...)
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  25.  28
    Computer Searches of the Medical Ethics Literature.P. A. Singer, S. H. Miles & M. Siegler - 1990 - Journal of Clinical Ethics 1 (3):195-198.
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  26.  24
    A computer simulation of the electrical resistivity during pre-precipitation.P. L. Rossiter & P. Wells - 1973 - Philosophical Magazine 28 (3):505-512.
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  27.  52
    Gender and computer ethics.Alison Adam - 2000 - Acm Sigcas Computers and Society 30 (4):17-24.
    This paper reviews the relatively small body of work in computer ethics which looks at the question of whether gender makes any difference to ethical decisions. There are two strands of writing on gender and computer ethics. The first focuses on problems of women's access to computer technology; the second concentrates on whether there are differences between men and women's ethical decision making in relation to information and computing technologies. I criticize the latter area, arguing that such (...)
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  28.  29
    An Intracortical Implantable Brain-Computer Interface for Telemetric Real-Time Recording and Manipulation of Neuronal Circuits for Closed-Loop Intervention.Hamed Zaer, Ashlesha Deshmukh, Dariusz Orlowski, Wei Fan, Pierre-Hugues Prouvot, Andreas Nørgaard Glud, Morten Bjørn Jensen, Esben Schjødt Worm, Slávka Lukacova, Trine Werenberg Mikkelsen, Lise Moberg Fitting, John R. Adler, M. Bret Schneider, Martin Snejbjerg Jensen, Quanhai Fu, Vinson Go, James Morizio, Jens Christian Hedemann Sørensen & Albrecht Stroh - 2021 - Frontiers in Human Neuroscience 15.
    Recording and manipulating neuronal ensemble activity is a key requirement in advanced neuromodulatory and behavior studies. Devices capable of both recording and manipulating neuronal activity brain-computer interfaces should ideally operate un-tethered and allow chronic longitudinal manipulations in the freely moving animal. In this study, we designed a new intracortical BCI feasible of telemetric recording and stimulating local gray and white matter of visual neural circuit after irradiation exposure. To increase the translational reliance, we put forward a Göttingen minipig model. (...)
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  29.  25
    Reconstructive Memory: A Computer Model.Janet L. Kolodner - 1983 - Cognitive Science 7 (4):281-328.
    This study presents a process model of very long‐term episodic memory. The process presented is a reconstructive process. The process involves application of three kinds of reconstructive strategies—component‐to‐context instantiation strategies, component‐instantiation strategies, and context‐to‐context instantiation strategies. The first is used to direct search to appropriate conceptual categories in memory. The other two are used to direct search within the chosen conceptual category. A fourth type of strategy, called executive search strategies, guide search for concepts related to the one targeted for (...)
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  30.  20
    The Vindication of Computer Simulations.Nicolas Fillion - 2017 - In Martin Carrier & Johannes Lenhard, Mathematics as a Tool: Tracing New Roles of Mathematics in the Sciences. Springer Verlag.
    The relatively recent increase in prominence of computer simulations in scientific inquiry gives us more reasons than ever before for asserting that mathematics is a wonderful tool. In fact, a practical knowledge of scientific computation has become essential for scientists working in all disciplines involving mathematics. Despite their incontestable success, it must be emphasized that the numerical methods subtending simulations provide at best approximate solutions and that they can also return very misleading results. Accordingly, epistemological sobriety demands that we (...)
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  31.  14
    The Computer Simulation of Behavior.B. A. Farrell - 1972 - Philosophical Quarterly 22 (86):76-77.
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  32. Applying Computer Software Technology to Develop English as a Foreign Language Vocabulary Acquisition.Rowles Phillip - 2010 - Fenomenologia. Diálogos Possíveis Campinas: Alínea/Goiânia: Editora da Puc Goiás 10:91-100.
     
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  33.  23
    Computer modelling of ion migration in zirconia.Martin Kilo, Robert A. Jackson & Günter Borchardt - 2003 - Philosophical Magazine 83 (29):3309-3325.
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  34.  29
    Can Students’ Computer Programming Learning Motivation and Effectiveness Be Enhanced by Learning Python Language? A Multi-Group Analysis.Hsiao-Chi Ling, Kuo-Lun Hsiao & Wen-Chiao Hsu - 2021 - Frontiers in Psychology 11.
    Python language has become the most popular computer language. Python is widely adopted in computer courses. However, Python language’s effects on the college and university students’ learning performance, motivations, computer programming self-efficacy, and maladaptive cognition have still not been widely examined. The main objective of this study is to explore the effects of learning Python on students’ programming learning. The junior students of two classes in a college are the research participants. One class was taught Java language (...)
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  35. Computer Simulation, Measurement, and Data Assimilation.Wendy S. Parker - 2017 - British Journal for the Philosophy of Science 68 (1):273-304.
    This article explores some of the roles of computer simulation in measurement. A model-based view of measurement is adopted and three types of measurement—direct, derived, and complex—are distinguished. It is argued that while computer simulations on their own are not measurement processes, in principle they can be embedded in direct, derived, and complex measurement practices in such a way that simulation results constitute measurement outcomes. Atmospheric data assimilation is then considered as a case study. This practice, which involves (...)
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  36.  71
    Brain–Computer Interfaces: Lessons to Be Learned from the Ethics of Algorithms.Andreas Wolkenstein, Ralf J. Jox & Orsolya Friedrich - 2018 - Cambridge Quarterly of Healthcare Ethics 27 (4):635-646.
    :Brain–computer interfaces are driven essentially by algorithms; however, the ethical role of such algorithms has so far been neglected in the ethical assessment of BCIs. The goal of this article is therefore twofold: First, it aims to offer insights into whether the problems related to the ethics of BCIs can be better grasped with the help of already existing work on the ethics of algorithms. As a second goal, the article explores what kinds of solutions are available in that (...)
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  37. "Computer creativity is a matter of agency".Dustin Stokes & Elliot Samuel Paul - 2021 - Institute of Arts and Ideas.
    Computer programs are generating artworks of astonishing novelty and aesthetic value. By the standard definition of creativity, these programs would count as being creative. But if you still hesitate to call a program creative, that's for good reason, we argue. It's because real creativity requires AGENTS who are responsible for what they make, and it's not at all clear that these programs are agents. -/- (The title was imposed by the editor. It was supposed to be called, "ARE COMPUTERS (...)
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  38. Computer-Aided Argument Mapping and the Teaching of Critical Thinking (Part 1).Martin Davies - 2012 - Inquiry: Critical Thinking Across the Disciplines 27 (2):15-30.
    This paper is in two parts. Part I outlines three traditional approaches to the teaching of critical thinking: the normative, cognitive psychology, and educational approaches. Each of these approaches is discussed in relation to the influences of various methods of critical thinking instruction. The paper contrasts these approaches with what I call the “visualisation” approach. This approach is explained with reference to computer-aided argument mapping (CAAM) which uses dedicated computer software to represent inferences between premise and conclusions. The (...)
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  39.  56
    Conceptual issues in computer-aided diagnosis and the hierarchical nature of medical knowledge.Marsden S. Blois - 1983 - Journal of Medicine and Philosophy 8 (1):29-50.
    Attempts to formalize the diagnostic process are by no means a recent undertaking; what is new is the availability of an engine to process these formalizations. The digital computer has therefore been increasingly turned to in the expectation of developing systems which will assist or replace the physician in diagnosis. Such efforts involve a number of assumptions regarding the nature of the diagnostic process: e.g. where it begins, and where it ends. ‘Diagnosis’ appears to include a number of quite (...)
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  40.  17
    Computer-aided thinking by mapping text-objects into metric spaces.Yasuyuki Sumi, Koichi Hori & Setsuo Ohsuga - 1997 - Artificial Intelligence 91 (1):71-84.
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  41. A Philosophy of Computer Art.Dominic Lopes - 2009 - New York: Routledge.
    What is computer art? Do the concepts we usually employ to talk about art, such as ‘meaning’, ‘form’ or ‘expression’ apply to computer art? _A Philosophy of Computer Art_ is the first book to explore these questions. Dominic Lopes argues that computer art challenges some of the basic tenets of traditional ways of thinking about and making art and that to understand computer art we need to place particular emphasis on terms such as ‘interactivity’ and (...)
  42. Der Computer als Mittel zum Zweck.Ma Bertman - 1980 - Conceptus: Zeitschrift Fur Philosophie 14 (33):24-27.
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  43.  17
    Entrepreneurship education-infiltrated computer-aided instruction system for college Music Majors using convolutional neural network.Hong Cao - 2022 - Frontiers in Psychology 13.
    The purpose is to improve the teaching and learning efficiency of college Innovation and Entrepreneurship Education. Firstly, from the perspective of aesthetic education, this work designs the teacher and student sides of the Computer-aided Instruction system. Secondly, the CAI model is implemented based on the weight sharing and local perception of the Convolutional Neural Network. Finally, the performance of the CNN-based CAI model is tested. Meanwhile, it analyses students’ IEE experience under the proposed CAI model through a case study (...)
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  44.  67
    Computer Ethics and Moral Methodology.Jeroen Van Den Hoven - 1997 - Metaphilosophy 28 (3):234-248.
    In computer ethics, as in other branches of applied ethics, the problem of the justification of moral judgment is still unresolved. I argue that the method which is referred to as “The Method of Wide Reflective Equilibrium” (WRE) offers the best solution to it. It does not fall victim to the false dilemma of having to choose either case‐based particularist or principle‐based universalist approaches to the problem of moral justification. I claim that WRE also provides the best model of (...)
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  45. Können Computer kreativ sein.Andrea Anna Reichenberger - 2005 - In Günter Abel, Kreativität: XX. Deutscher Kongress für Philosophie, 26.-30. September 2005 in Berlin : Sektionsbeiträge. Berlin: Universitätsverlag der TU Berlin. pp. 245-256.
     
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  46.  31
    Computer Decision-Support Systems for Public Argumentation: Criteria for Assessment.Willaim Rheg, Peter Mcburney & Simon Parsons - unknown
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  47. Computer Proof, Apriori Knowledge, and Other Minds.Tyler Burge - 1998 - Noûs 32 (S12):1-37.
  48.  90
    Computer Art, Technology, and the Medium.Christopher Bartel - 2022 - Being and Value in Technology.
    Technological advancements often lead to revolutions in the creation of art; but, what is unclear is whether such advancements always correspond to revolutions regarding the artistic medium. The notion of an artistic medium is central to our thinking about, engagement with, and appreciation of art. Accounts of the interpretation, understanding, and experience of art must at some point grapple with the role of the artistic medium against such endeavors. Moreover, artists do not choose their medium by accident, but presumably do (...)
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  49. Ethical Challenges Associated with the Development and Deployment of Brain Computer Interface Technology.Paul McCullagh, Gaye Lightbody, Jaroslaw Zygierewicz & W. George Kernohan - 2013 - Neuroethics 7 (2):109-122.
    Brain Computer Interface (BCI) technology offers potential for human augmentation in areas ranging from communication to home automation, leisure and gaming. This paper addresses ethical challenges associated with the wider scale deployment of BCI as an assistive technology by documenting issues associated with the development of non-invasive BCI technology. Laboratory testing is normally carried out with volunteers but further testing with subjects, who may be in vulnerable groups is often needed to improve system operation. BCI development is technically complex, (...)
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  50.  16
    Computer simulation of sodium diffusion in β″-alumina.G. E. Muech & R. J. Thorn - 1977 - Philosophical Magazine 35 (2):493-502.
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