24 found
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Juan M. Durán [19]Juan Manuel Durán [6]
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Juan Manuel Durán
Delft University of Technology
  1.  16
    Grounds for Trust: Essential Epistemic Opacity and Computational Reliabilism.Juan M. Durán & Nico Formanek - 2018 - Minds and Machines 28 (4):645-666.
    Several philosophical issues in connection with computer simulations rely on the assumption that results of simulations are trustworthy. Examples of these include the debate on the experimental role of computer simulations :483–496, 2009; Morrison in Philos Stud 143:33–57, 2009), the nature of computer data Computer simulations and the changing face of scientific experimentation, Cambridge Scholars Publishing, Barcelona, 2013; Humphreys, in: Durán, Arnold Computer simulations and the changing face of scientific experimentation, Cambridge Scholars Publishing, Barcelona, 2013), and the explanatory power of (...)
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  2. Computer Simulations in Science and Engineering. Concept, Practices, Perspectives.Juan Manuel Durán - 2018 - Springer.
  3. Varying the Explanatory Span: Scientific Explanation for Computer Simulations.Juan Manuel Durán - 2017 - International Studies in the Philosophy of Science 31 (1):27-45.
    This article aims to develop a new account of scientific explanation for computer simulations. To this end, two questions are answered: what is the explanatory relation for computer simulations? And what kind of epistemic gain should be expected? For several reasons tailored to the benefits and needs of computer simulations, these questions are better answered within the unificationist model of scientific explanation. Unlike previous efforts in the literature, I submit that the explanatory relation is between the simulation model and the (...)
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  4.  72
    Ciencia de la computación y filosofía: unidades de análisis del software.Juan Manuel Durán - 2018 - Principia 22 (2):203-227.
    Una imagen muy generalizada a la hora de entender el software de computador es la que lo representa como una “caja negra”: no importa realmente saber qué partes lo componen internamente, sino qué resultados se obtienen de él según ciertos valores de entrada. Al hacer esto, muchos problemas filosóficos son ocultados, negados o simplemente mal entendidos. Este artículo discute tres unidades de análisis del software de computador, esto es, las especificaciones, los algoritmos y los procesos computacionales. El objetivo central es (...)
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  5. Nociones de simulación computacional: simulaciones y modelos científicos.Juan M. Durán - 2015 - Argumentos de Razón Técnica 18:87-110.
  6. Eric Winsberg y la epistemología de las simulaciones computacionales.Juan M. Durán - 2017 - Argumentos de Razón Técnica 20:xx-yy.
    En este trabajo presento un estudio sobre el estado del arte de la llamada ‘epistemología de las simulaciones computacionales’. En particular, me centro en los varios trabajos de Eric Winsberg quién es uno de los filósofos más fructíferos y sistemáticos en este tema. Además de analizar la obra de Winsberg, y basándome en sus trabajos y en el de otros filósofos, mostraré que hay buenas razones para pensar que la epistemología tradicional de la ciencia no es suficiente para el análisis (...)
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  7. Explaining Simulated Phenomena. A Defense of the Epistemic Power of Computer Simulations.Juan M. Durán - 2013 - Dissertation, University of Stuttgart
  8.  56
    A Brief Overview of the Philosophical Study of Computer Simulations.Juan M. Durán - 2013 - American Philosophical Association Newsletter on Philosophy and Computers 13 (1):38-46.
  9.  19
    The Use of the ‘Materiality Argument’ in the Literature on Computer Simulations.Juan M. Durán - 2013 - In Juan M. Durán & Eckhart Arnold (eds.), Computer simulations and the changing face of scientific experimentation. pp. 76-98.
  10.  8
    Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer.Björn Schembera & Juan M. Durán - 2019 - Philosophy and Technology:1-23.
    Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing facilities. To this end, we provide statistics of a major HPC facility in Europe, the High-Performance Computing Center Stuttgart. We also propose a new position tailor-made for coping with dark data and (...)
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  11. The Practice Turn and its Effect on Science Studies.Juan M. Durán - 2016 - Metascience 25 (2):285-288.
  12.  44
    Content Aggregation, Visualization and Emergent Properties in Computer Simulations.Gordana Dodig-Crnkovic, Juan M. Durán & D. Slutej - 2010 - In Kai-Mikael Jää-Aro & Thomas Larsson (eds.), SIGRAD 2010 – Content aggregation and visualization. Linköping University Electronic Press. pp. 77-83.
    With the rapidly growing amounts of information, visualization is becoming increasingly important, as it allows users to easily explore and understand large amounts of information. However the field of information visualiza- tion currently lacks sufficient theoretical foundations. This article addresses foundational questions connecting information visualization with computing and philosophy studies. The idea of multiscale information granula- tion is described based on two fundamental concepts: information (structure) and computation (process). A new information processing paradigm of Granular Computing enables stepwise increase of (...)
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  13.  57
    Thomas Reid on Causation and Scientific Explanation.Manuel Barrantes & Juan Manuel Durán - 2016 - Journal of Scottish Philosophy 14 (1):51-67.
    We argue that there is no tension between Reid's description of science and his claim that science is based on the principles of common sense. For Reid, science is rooted in common sense since it is based on the idea that fixed laws govern nature. This, however, does not contradict his view that the scientific notions of causation and explanation are fundamentally different from their common sense counterparts. After discussing these points, we dispute with Cobb's and Benbaji's interpretations of Reid's (...)
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  14. Computer Simulations as a Technological Singularity in the Empirical Sciences.Juan M. Durán - forthcoming - In Jim Miller, Roman Yampolskiy, Stuart Armstrong & Vic Callaghan (eds.), The technological singularity: A pragmatic perspective.
  15. Diagramas Hertzianos: lecturas de una interpretación.Juan M. Durán - 2008 - In Leticia Minhot & Leon Olivé (eds.), Representación en la ciencia y en el arte.
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  16.  17
    The Limits of Computer Simulations as Epistemic Tools.Juan M. Durán - 2011 - In Charles Ess & Ruth Hagengruber (eds.), The computational turn: Past, present, futures? pp. 40-42.
  17.  3
    Simulaciones computacionales: un análisis de dos concepciones antagónicas.Juan Manuel Duran - 2017 - Principia: An International Journal of Epistemology (April):125-140.
  18.  11
    Computer Simulations and Traditional Experimentation: From a Material Point of View.Juan M. Durán - 2010 - In Jordi Vallverdú (ed.), Thinking Machines and the Philosophy of Computer Science: Concepts and Principles. Editorial IGI Global. pp. 294-311.
  19.  2
    La especificidad de la creencia religiosa, algo distinto de la razón. Wittgenstein y los ‘juegos de lenguaje´.Juan M. Durán - 2016 - Revista de Filosofia Aurora 28 (43):279.
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  20.  18
    Computer Simulations and the Changing Face of Scientific Experimentation.Juan M. Durán & Eckhart Arnold (eds.) - 2013 - Cambridge Scholars Publishing.
    In this volume, scientists, historians, and philosophers join to examine computer simulations in scientific practice. One central aim of the volume is to provide a multiperspective view on the topic. Therefore, the text includes philosophical studies on computer simulations, as well as case studies from simulation practice, and historical studies of the evolution of simulations as a research method.
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  21. El diseño de simulaciones digitales: una perspectiva desde las prácticas científicas.Juan M. Durán, Penélope Lodeyro & Maximiliano Bozzoli - 2010 - In Pío García & Alba Massolo (eds.), Epistemología e historia de la ciencia: Selección de trabajos de las XX jornadas. Editorial Universidad Nacional de Cȯrdoba. pp. 204-210.
  22. Experimentación, materialidad y simulaciones computacionales.Pío García, Juan M. Durán & José Ahumada - 2013 - In A. Torrano & A. Passos Videira (eds.), Representación en Ciencia y Arte. Editorial Brujas. pp. 73-82.
  23. Grados de materialidad y simulaciones computacionales.Juan M. Durán - 2009 - In Diego Letzen & Penélope Lodeyro (eds.), Epistemología e historia de la ciencia: Selección de trabajos de las XIX jornadas. pp. 171-177.
  24. Reinterpretando a Hertz. Algunas consideraciones en torno a una lectura de Hertz.Juan M. Durán - 2007 - Lektón. Revista de Filosofía 1 (1):61-73.