Results for 'Computable analysis'

998 found
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  1.  33
    Computable analysis of the abstract Cauchy problem in a Banach space and its applications I.Klaus Weihrauch & Ning Zhong - 2007 - Mathematical Logic Quarterly 53 (4‐5):511-531.
    We study computability of the abstract linear Cauchy problem equation image)where A is a linear operator, possibly unbounded, on a Banach space X. We give necessary and sufficient conditions for A such that the solution operator K: x ↦ u of the problem is computable. For studying computability we use the representation approach to computable analysis developed by Weihrauch and others. This approach is consistent with the model used by Pour-El/Richards.
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  2.  45
    A computational analysis of mental image generation: Evidence from functional dissociations in split-brain patients.Stephen M. Kosslyn, Jeffrey D. Holtzman, Martha J. Farah & Michael S. Gazzaniga - 1985 - Journal of Experimental Psychology 114 (3):311-341.
  3. A computational analysis of consciousness.Philip N. Johnson-Laird - 1983 - Cognition and Brain Theory 6:499-508.
  4.  4
    Computational Analysis Problem of Aesthetic Content in Fine-Art Paintings.Ольга Алексеевна Журавлева, Наталья Борисовна Савхалова, Андрей Владимирович Комаров, Денис Алексеевич Жердев, Анна Ивановна Демина, Эккарт Михаэльсен, Артем Владимирович Никоноров & Александр Юрьевич Нестеров - 2022 - Russian Journal of Philosophical Sciences 65 (2):120-140.
    The article discusses the possibilities of the formal analysis of the fine-art painting composition on the basis of the classical definitions of beauty and computational aesthetics’ approaches of the second half of the 20th century he authors define the problem and consider solutions for the formalization of aesthetic perception in the context of aesthetic text, i.e., as part of the fine arts composition – a formal sequence of signs simply ordered in accordance with the syntactic rules’ system. The methodology (...)
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  5.  19
    Computable Analysis.R. L. Goodstein - 1971 - Journal of Symbolic Logic 36 (1):148-150.
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  6.  24
    A computational analysis of colour constancy.Donald Ia Macleod & Jürgen Golz - 2003 - In Rainer Mausfeld & Dieter Heyer (eds.), Colour Perception: Mind and the Physical World. Oxford University Press.
  7. Mathematical and Computational Analysis of Natural Language: Selected papers from the 2nd International Conference on Mathematical Linguistics (ICML ’96), Tarragona, 1996.Carlos Martin-Vide (ed.) - 1998 - Amsterdam, The Netherlands: John Benjamins Publishing Company.
  8.  9
    The framings of the coexistence of agrifood models: a computational analysis of French media.Guillaume Ollivier, Pierre Gasselin & Véronique Batifol - forthcoming - Agriculture and Human Values:1-25.
    The confrontations of stakeholder visions about agriculture and food production has become a focal point in the public sphere, coinciding with a diversification of agrifood models. This study analyzes the debates stemming from the coexistence of these models, particularly during the initial term of neoliberal-centrist Emmanuel Macron’s presidency in France. Employing collective monitoring from 2017 to 2021, a corpus of 958 online news and blog articles was compiled. Using a computational analysis, we reveal the framings and controversies emerging from (...)
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  9.  26
    Computational Analysis of Complex Population Dynamical Model with Arbitrary Order.Fazal Haq, Kamal Shah, Ghaus ur Rahman, Yongjin Li & Muhammad Shahzad - 2018 - Complexity 2018:1-8.
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  10.  27
    A Computational Analysis of Aberrant Delay Discounting in Psychiatric Disorders.Giles W. Story, Michael Moutoussis & Raymond J. Dolan - 2015 - Frontiers in Psychology 6.
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  11.  16
    Computational analysis of Kierkegaard's samlede værker.Alastair McKinnon - 1975 - Leiden: Brill.
    INTRODUCTION In the course of their excavations on Delos, the sacred island of Apollo, archaeologists discovered considerable remains of an Egyptian cult. ...
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  12. A computational analysis of colour constancy.MacLeod & Golz - 2003 - In Rainer Mausfeld & Dieter Heyer (eds.), Colour Perception: Mind and the Physical World. Oxford University Press.
  13.  92
    Effective choice and boundedness principles in computable analysis.Vasco Brattka & Guido Gherardi - 2011 - Bulletin of Symbolic Logic 17 (1):73-117.
    In this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can be continuously or computably transferred into each other? For this purpose theorems are considered via their realizers which are operations with certain input and output data. The technical tool to express continuous or computable relations between such operations is Weihrauch reducibility and the partially ordered degree structure induced by it. We have identified certain (...)
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  14.  12
    Computer analysis of dislocated spherical crystal surfaces.D. G. Brandon & A. J. Perky - 1967 - Philosophical Magazine 16 (139):131-140.
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  15.  12
    Computational Analysis on Numerical Simulation of Internal Flow Physics for Pump as Turbine in Renewable Small Hydro Energy Generation.Daniel du JianguoAdu, Emmanuel Acheaw, Shakir Hafeez & Eric Ofosu Antw - 2020 - Complexity 2020:1-10.
    Energy contributes significantly in almost all aspects of human life as well as economic activities and plays a crucial role in the infrastructural development of a county to alleviate poverty. Generating energy from a renewable source such as small hydropower through the application of pump operating as a turbine mode called Pump as Turbine is one of the best alternatives to provide clean and inexpensive energy. Using Pump as Turbine helps in generating reasonably priced hydroelectric power for communities in underdeveloped (...)
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  16.  15
    A Computational Analysis of Neural Mechanisms Underlying the Maturation of Multisensory Speech Integration in Neurotypical Children and Those on the Autism Spectrum.Cristiano Cuppini, Mauro Ursino, Elisa Magosso, Lars A. Ross, John J. Foxe & Sophie Molholm - 2017 - Frontiers in Human Neuroscience 11.
  17.  16
    Computational analysis of maltose binding protein translocation.Mauro Chinappi, Fabio Cecconi & Carlo Massimo Casciola - 2011 - Philosophical Magazine 91 (13-15):2034-2048.
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  18.  16
    Theoretical and computational analysis of skill learning, repetition priming, and procedural memory.Prahlad Gupta & Neal J. Cohen - 2002 - Psychological Review 109 (2):401-448.
  19.  19
    The Failure in Computable Analysis of a Classical Existence Theorem for Differential Equations.Brian H. Mayoh & Oliver Aberth - 1975 - Journal of Symbolic Logic 40 (1):85.
  20.  62
    Alan Turing and the foundations of computable analysis.Guido Gherardi - 2011 - Bulletin of Symbolic Logic 17 (3):394-430.
    We investigate Turing's contributions to computability theory for real numbers and real functions presented in [22, 24, 26]. In particular, it is shown how two fundamental approaches to computable analysis, the so-called ‘Type-2 Theory of Effectivity' (TTE) and the ‘realRAM machine' model, have their foundations in Turing's work, in spite of the two incompatible notions of computability they involve. It is also shown, by contrast, how the modern conceptual tools provided by these two paradigms allow a systematic interpretation (...)
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  21.  7
    Aberth Oliver. Computable analysis. Advanced book program. McGraw-Hill International Book Company, New York etc. 1980, xi + 187 pp. [REVIEW]C. Ward Henson - 1984 - Journal of Symbolic Logic 49 (3):988-989.
  22.  13
    Mazur S.. Computable analysis, edited by Grzegorczyk A. and Rasiowa H., Rozprawy matematyczne no. 33, Państwowe Wydawnictwo Naukowe, Warsaw 1963, 111 pp. [REVIEW]R. L. Goodstein - 1971 - Journal of Symbolic Logic 36 (1):148-150.
  23. Review: Oliver Aberth, Computable Analysis[REVIEW]C. Ward Henson - 1984 - Journal of Symbolic Logic 49 (3):988-989.
  24.  15
    Oliver Aberth. Computable analysis and differential equations. Intuitionism and proof theory, Proceedings of the summer conference at Buffalo N.Y. 1968, edited by A. Kino, J. Myhill, and R. E. Vesley, Studies in logic and the foundations of mathematics, North-Holland Publishing Company, Amsterdam and London1970, pp. 47–52. [REVIEW]Brian H. Mayoh - 1975 - Journal of Symbolic Logic 40 (1):84.
  25.  40
    Individual differences in mental imagery ability: A computational analysis.Stephen M. Kosslyn, Jennifer Brunn, Kyle R. Cave & Roger W. Wallach - 1984 - Cognition 18 (1-3):195-243.
  26.  19
    Cultural commonalities and differences in spatial problem-solving: A computational analysis.Andrew Lovett & Kenneth Forbus - 2011 - Cognition 121 (2):281-287.
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  27.  14
    Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings.Giovanni Cassani, Federico Bianchi & Marco Marelli - 2021 - Cognitive Science 45 (4):e12963.
    In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition (AoA) while controlling for frequency, contextual diversity, concreteness, length, dominant part of speech, orthographic neighborhood density, and diachronic frequency variation. We analyze measures of language change tackling both the change in lexical representations and (...)
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  28.  7
    A Chain of Inclusion Relations in Computable Analysis.Brian H. Mayoh & Oliver Aberth - 1975 - Journal of Symbolic Logic 40 (1):84.
  29.  17
    Woman in Either/Or, I & II: A Computer Analysis.Alastair McKinnon - 1993 - Tópicos: Revista de Filosofía 5 (1):69-101.
    El autor analiza el pronunciamiento de Kierkegaard acerca de la mujer y lo femenino en el texto O lo Uno o lo Otro, especialmente en las partes I y II. Para esto, se seleccionaron palabras clave como “mujer”, “femenino”, “virginidad”, “novia”, “esposa”, entre muchas otras más y se empleó el programa de análisis comparativo SimCA 2.0 de Michael J. Greenacre con el objetivo de mostrar tanto las comunes como las diferentes posturas del esteta A y el esteta B, así como (...)
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  30. Setting the first few syntactic parameters: A computational analysis.William G. Sakas & Janet Dean Fodor - 1998 - In Morton Ann Gernsbacher & Sharon J. Derry (eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society. Lawerence Erlbaum.
     
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  31.  25
    The Textual Evolution of the Ottoman Şeyhülislams’ Fetvas: A Cross-Corpora Computational Analysis.Atabey Kaygun & Boğaç Ergene - 2021 - Der Islam: Journal of the History and Culture of the Middle East 98 (2):516-545.
    In this article, we use a mix of computational techniques to identify textual shifts in the Ottoman şeyhülislams’ fetvas between the sixteenth and twentieth centuries. Our analysis, supplemented by a close reading of these texts, indicates that the fetvas underwent multiple forms of transformation, a consequence of the institutional evolution of the şeyhülislam’s fetva office that aimed to speed up and streamline the production of the fetvas: over time, the texts appropriated a more uniform character and came to contain (...)
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  32.  7
    On the impossibility of explicit upper bounds on lengths of some provably finite algorithms in computable analysis.Andre Scedrov - 1986 - Annals of Pure and Applied Logic 32:291-297.
  33.  18
    Computational Approaches to Comics Analysis.Jochen Laubrock & Alexander Dunst - 2020 - Topics in Cognitive Science 12 (1):274-310.
    Comics are complex multimodal documents that make for intriguing materials to analyze with computer vision and computational linguistics. This review summarizes the growing developments in computational modeling which have been progressing to analyze visual narratives across their various substructures.
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  34.  17
    Computability theory, nonstandard analysis, and their connections.Dag Normann & Sam Sanders - 2019 - Journal of Symbolic Logic 84 (4):1422-1465.
    We investigate the connections between computability theory and Nonstandard Analysis. In particular, we investigate the two following topics and show that they are intimately related. A basic property of Cantor space$2^ $ is Heine–Borel compactness: for any open covering of $2^ $, there is a finite subcovering. A natural question is: How hard is it to compute such a finite subcovering? We make this precise by analysing the complexity of so-called fan functionals that given any $G:2^ \to $, output (...)
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  35.  22
    ‘Beauty’ and the ‘Beautiful’: a Computational Analysis of the Company They Kept Across the Eighteenth-century Corpus.John Regan - 2021 - Journal of Aesthetics and Art Criticism 79 (1):88-107.
    This article is a computational enquiry into the different ways in which two words, assumed to be central to the eighteenth-century concept of aesthetics, were used across that century. Using word co-association measures designed specifically for this study, I show the markedly different lexis that surrounded the words ‘beauty’ and ‘beautiful’ in three decades of historical textual data from Eighteenth-Century Collections Online. Having demonstrated that these words were used in very different semantic contexts in the beginning, middle, and end of (...)
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  36. Plato and Computer Dating: A Discussion of Gerard R. Ledger, Re-Counting Plato: A Computer Analysis of Plato’s Style, and Leonard Brandwood, The Chronology of Plato’s Dialogues.Charles M. Young - 1994 - Oxford Studies in Ancient Philosophy 12:227-50.
  37. An Analysis of the Impact of Brain-Computer Interfaces on Autonomy.Orsolya Friedrich, Eric Racine, Steffen Steinert, Johannes Pömsl & Ralf J. Jox - 2018 - Neuroethics 14 (1):17-29.
    Research conducted on Brain-Computer Interfaces has grown considerably during the last decades. With the help of BCIs, users can gain a wide range of functions. Our aim in this paper is to analyze the impact of BCIs on autonomy. To this end, we introduce three abilities that most accounts of autonomy take to be essential: the ability to use information and knowledge to produce reasons; the ability to ensure that intended actions are effectively realized ; and the ability to enact (...)
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  38. Rythmic structure of Hindi and English: new insights from a computational analysis.T. Das, L. Singh & N. C. Singh - 2008 - In Rahul Banerjee & Bikas K. Chakrabarti (eds.), Models of brain and mind: physical, computational, and psychological approaches. Boston: Elsevier.
     
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  39.  13
    Rejection positivity predicts trial-to-trial reaction times in an auditory selective attention task: a computational analysis of inhibitory control.Sufen Chen & Robert D. Melara - 2014 - Frontiers in Human Neuroscience 8.
  40.  10
    Computational Modeling of the Segmentation of Sentence Stimuli From an Infant Word‐Finding Study.Daniel Swingley & Robin Algayres - 2024 - Cognitive Science 48 (3):e13427.
    Computational models of infant word‐finding typically operate over transcriptions of infant‐directed speech corpora. It is now possible to test models of word segmentation on speech materials, rather than transcriptions of speech. We propose that such modeling efforts be conducted over the speech of the experimental stimuli used in studies measuring infants' capacity for learning from spoken sentences. Correspondence with infant outcomes in such experiments is an appropriate benchmark for models of infants. We demonstrate such an analysis by applying the (...)
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  41.  42
    The effective sequence of uniformities and its limit: as a methodology in computable analysis.Mariko Yasugi, Takakazu Mori & Yoshiki Tsujii - 2007 - Annals of the Japan Association for Philosophy of Science 15 (2):99-121.
  42. Computational reverse mathematics and foundational analysis.Benedict Eastaugh - manuscript
    Reverse mathematics studies which subsystems of second order arithmetic are equivalent to key theorems of ordinary, non-set-theoretic mathematics. The main philosophical application of reverse mathematics proposed thus far is foundational analysis, which explores the limits of different foundations for mathematics in a formally precise manner. This paper gives a detailed account of the motivations and methodology of foundational analysis, which have heretofore been largely left implicit in the practice. It then shows how this account can be fruitfully applied (...)
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  43.  18
    Oliver Aberth. A chain of inclusion relations in computable analysis. Proceedings of the American Mathematical Society, vol. 22 , pp. 539–548. [REVIEW]Brian H. Mayoh - 1975 - Journal of Symbolic Logic 40 (1):84.
  44.  18
    Making computers noble. An experiment in automatic analysis of medieval texts.Andrea Colli - 2015 - Doctor Virtualis 13.
    L’analisi informatica di testi filosofici, la creazione di database, ipertesti o edizioni elettroniche non costituiscono più unicamente una ricerca di frontiera, ma sono da molti anni una risorsa preziosa per gli studi umanistici. Ora, non si tratta di richiedere alle macchine un ulteriore sforzo per comprendere il linguaggio umano, quanto piuttosto di perfezionare gli strumenti affinché esse possano essere a tutti gli effetti collaboratori di ricerca. Questo articolo è concepito come il resoconto di un esperimento finalizzato a documentare come le (...)
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  45. An analysis of the criteria for evaluating adequate theories of computation.Nir Fresco - 2008 - Minds and Machines 18 (3):379-401.
    This paper deals with the question: What are the criteria that an adequate theory of computation has to meet? 1. Smith's answer: it has to meet the empirical criterion (i.e. doing justice to computational practice), the conceptual criterion (i.e. explaining all the underlying concepts) and the cognitive criterion (i.e. providing solid grounds for computationalism). 2. Piccinini's answer: it has to meet the objectivity criterion (i.e. identifying computation as a matter of fact), the explanation criterion (i.e. explaining the computer's behaviour), the (...)
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  46.  26
    Computer models and the evidence of anthropogenic climate change: An epistemology of variety-of-evidence inferences and robustness analysis.Martin A. Vezér - 2016 - Studies in History and Philosophy of Science Part A 56 (C):95-102.
  47. On the epistemological analysis of modeling and computational error in the mathematical sciences.Nicolas Fillion & Robert M. Corless - 2014 - Synthese 191 (7):1451-1467.
    Interest in the computational aspects of modeling has been steadily growing in philosophy of science. This paper aims to advance the discussion by articulating the way in which modeling and computational errors are related and by explaining the significance of error management strategies for the rational reconstruction of scientific practice. To this end, we first characterize the role and nature of modeling error in relation to a recipe for model construction known as Euler’s recipe. We then describe a general model (...)
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  48.  14
    Review: S. Mazur, A. Grzegorczyk, H. Rasiowa, Computable Analysis[REVIEW]R. L. Goodstein - 1971 - Journal of Symbolic Logic 36 (1):148-150.
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  49. Computers and Moral Responsibility: A Framework for Ethical Analysis.John Ladd - 1989 - In Carol C. Gould (ed.), The Information Web: Ethical and Social Implications of Computer Networking. Routledge. pp. 207-227.
    This chapter will deal with an issue that is as much a problem for moral philosophy as it is for the computer world. My basic theme is that high technology, and computer technology in particular, raises ethical problems of a new sort that require considerable restructuring of our traditional ethical categories. It follows that our job as philosophers is not, as it is often thought to be, simply to apply ready-made categories to new situations; rather, it is to find new (...)
     
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  50.  93
    Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.Thomas L. Griffiths, Falk Lieder & Noah D. Goodman - 2015 - Topics in Cognitive Science 7 (2):217-229.
    Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is (...)
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