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Eric Winsberg [31]Eric B. Winsberg [1]
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Profile: Eric Winsberg (University of South Florida)
Profile: Eric Winsberg (University of South Florida)
  1. Eric Winsberg, Simulation at the Nano-Scale.
    All of the pundits, prognosticators, and policymakers are in agreement: research into the science and technology of the nano-scale is going to be one of the hot scientific topics of the 21st Century. According to the web page of the National Nanotechnology Initiative, moreover, this should make nanotechnology and nano-science “of great interest to philosophers.” Admittedly, the kind of philosophers being imagined by the authors of the initiative web page are most likely something like the nano-technological analogues of bio-ethicists—not the (...)
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  2. Barry Loewer, Brad Weslake & Eric Winsberg (eds.) (forthcoming). Time's Arrows and the Probability Structure of the World. Harvard University Press.
    A collection of newly commissioned papers on themes from David Albert's Time and Chance (HUP, 2000), with replies by Albert. Confirmed contributors: Sean Carroll, Sidney Felder, Alison Fernandes, Mathias Frisch, Nick Huggett, Jenann Ismael, Doug Kutach, Barry Loewer, Tim Maudlin, Chris Meacham, David Wallace, and Eric Winsberg.
     
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  3. Barry Loewer, Eric Winsberg & Brad Weslake (eds.) (forthcoming). Currently-Unnamed Volume Discussing David Albert's "Time and Chance&Quot;.
     
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  4. Eric Winsberg (forthcoming). Computer Simulations in Science. Stanford Encyclopedia of Philosophy.
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  5. Eric Winsberg, Bryce Huebner & Rebecca Kukla (forthcoming). Accountability and Values in Radically Collaborative Research. Studies in History and Philosophy of Science Part A.
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  6. Eric Winsberg (2012). Values and Uncertainties in the Predictions of Global Climate Models. Kennedy Institute of Ethics Journal 22 (2):111-137.
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  7. Johannes Lenhard & Eric Winsberg (2011). Holism and Entrenchment in Climate Model Validation. In M. Carrier & A. Nordmann (eds.), Science in the Context of Application. Springer. 115--130.
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  8. Justin Biddle & Eric Winsberg (2010). Value Judgements and the Estimation of Uncertainty in Climate Modeling. In P. D. Magnus & Jacob Busch (eds.), New Waves in Philosophy of Science. Palgrave Macmillan. 172--197.
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  9. Johannes Lenhard & Eric Winsberg (2010). Holism, Entrenchment, and the Future of Climate Model Pluralism. Studies in History and Philosophy of Science Part B 41 (3):253-262.
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  10. Eric B. Winsberg (2010). Science in the Age of Computer Simulation. The University of Chicago Press.
    Introduction -- Sanctioning models : theories and their scope -- Methodology for a virtual world -- A tale of two methods -- When theories shake hands -- Models of climate : values and uncertainties -- Reliability without truth -- Conclusion.
     
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  11. Eric Winsberg (2009). A Function for Fictions: Expanding the Scope of Science. In Mauricio Suárez (ed.), Fictions in Science: Philosophical Essays on Modeling and Idealization. Routledge. 4--179.
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  12. Eric Winsberg (2009). A Tale of Two Methods. Synthese 169 (3):575 - 592.
    Simulations (both digital and analog) and experiments share many features. But what essential features distinguish them? I discuss two proposals in the literature. On one proposal, experiments investigate nature directly, while simulations merely investigate models. On another proposal, simulations differ from experiments in that simulationists manipulate objects that bear only a formal (rather than material) similarity to the targets of their investigations. Both of these proposals are rejected. I argue that simulations fundamentally differ from experiments with regard to the background (...)
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  13. Eric Winsberg (2009). Computer Simulation and the Philosophy of Science. Philosophy Compass 4 (5):835-845.
    There are a variety of topics in the philosophy of science that need to be rethought, in varying degrees, after one pays careful attention to the ways in which computer simulations are used in the sciences. There are a number of conceptual issues internal to the practice of computer simulation that can benefit from the attention of philosophers. This essay surveys some of the recent literature on simulation from the perspective of the philosophy of science and argues that philosophers have (...)
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  14. Eric Winsberg (2009). Lawless Territory. Metascience 18 (2):265-268.
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  15. Eric Winsberg (2009). Models and Theories at the Nano-Scale. Spontaneous Generations: A Journal for the History and Philosophy of Science 2 (1):139.
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  16. Eric Winsberg (2008). Laws and Chances in Statistical Mechanics. Studies in History and Philosophy of Science Part B 39 (4):872-888.
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  17. Eric Winsberg (2008). Laws, Chances, and Statistical Mechanics. Studies in History and Philosophy of Modern Physics 39 (4):872.
    Statistical Mechanics (SM) involves probabilities. At the same time, most approaches to the foundations of SM—programs whose goal is to understand the macroscopic laws of thermal physics from the point of view of microphysics—are classical; they begin with the assumption that the underlying dynamical laws that govern the microscopic furniture of the world are (or can without loss of generality be treated as) deterministic. This raises some potential puzzles about the proper interpretation of these probabilities. It also raises, more generally, (...)
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  18. Eric Winsberg (2006). Handshaking Your Way to the Top: Simulation at the Nanoscale. Philosophy of Science 73 (5):582-594.
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  19. Eric Winsberg (2006). Handshaking Your Way to the Top: Inconsistency and Falsification in Intertheoretic Reduction. In Borchert (ed.), Philosophy of Science. Macmillan. 73--582.
     
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  20. Eric Winsberg (2006). Models of Success Versus the Success of Models: Reliability Without Truth. Synthese 152 (1):1 - 19.
    In computer simulations of physical systems, the construction of models is guided, but not determined, by theory. At the same time simulations models are often constructed precisely because data are sparse. They are meant to replace experiments and observations as sources of data about the world; hence they cannot be evaluated simply by being compared to the world. So what can be the source of credibility for simulation models? I argue that the credibility of a simulation model comes not only (...)
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  21. Michael Dickson, Don Howard, Scott Tanona, Mathias Frisch, Eric Winsberg, Arnold Koslow, Paul Teller, Ronald N. Giere, Mary S. Morgan & Mauricio Suárez (2004). 1. Preface Preface (P. Vii). Philosophy of Science 71 (5).
     
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  22. Paul Teller, Stefano Gattei, Kent W. Staley, Eric Winsberg, James Hawthorne, Branden Fitelson, Patrick Maher, Peter Achinstein & Mathias Frisch (2004). 10. Selection, Drift, and the “Forces” of Evolution Selection, Drift, and the “Forces” of Evolution (Pp. 550-570). Philosophy of Science 71 (4).
     
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  23. Eric Winsberg (2004). Can Conditioning on the “Past Hypothesis” Militate Against the Reversibility Objections? Philosophy of Science 71 (4):489-504.
    In his recent book, Time and Chance, David Albert claims that by positing that there is a uniform probability distribution defined, on the standard measure, over the space of microscopic states that are compatible with both the current macrocondition of the world, and with what he calls the “past hypothesis”, we can explain the time asymmetry of all of the thermodynamic behavior in the world. The principal purpose of this paper is to dispute this claim. I argue that Albert's proposal (...)
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  24. Eric Winsberg (2004). Laws and Statistical Mechanics. Philosophy of Science 71 (5):707-718.
    This paper explores some connections between competing conceptions of scientific laws on the one hand, and a problem in the foundations of statistical mechanics on the other. I examine two proposals for understanding the time asymmetry of thermodynamic phenomenal: David Albert's recent proposal and a proposal that I outline based on Hans Reichenbach's “branch systems”. I sketch an argument against the former, and mount a defense of the latter by showing how to accommodate statistical mechanics to recent developments in the (...)
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  25. Eric Winsberg (2003). [Book Review: Model-Based Reasoning: Technology, Science, Values]. [REVIEW] Philosophy of Science 70 (2):442-447.
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  26. Eric Winsberg (2003). Quantum Life: Interaction, Entanglement, and Separation. Journal of Philosophy 100 (2):80 - 97.
    Violations of the Bell inequalities in EPR-Bohm type experiments have set the literature on the metaphysics of microscopic systems to flirting with some sort of metaphysical holism regarding spatially separated, entangled systems. The rationale for this behavior comes in two parts. The first part relies on the proof, due to Jon Jarrett [2] that the experimentally observed violations of the Bell inequalities entail violations of the conjunction of two probabilistic constraints. Jarrett called these two constraints locality and completeness. We prefer (...)
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  27. Eric Winsberg (2003). Simulated Experiments: Methodology for a Virtual World. Philosophy of Science 70 (1):105-125.
    This paper examines the relationship between simulation and experiment. Many discussions of simulation, and indeed the term "numerical experiments," invoke a strong metaphor of experimentation. On the other hand, many simulations begin as attempts to apply scientific theories. This has lead many to characterize simulation as lying between theory and experiment. The aim of the paper is to try to reconcile these two points of viewto understand what methodological and epistemological features simulation has in common with experimentation, while at the (...)
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  28. Eric Winsberg (2001). Simulations, Models, and Theories: Complex Physical Systems and Their Representations. Proceedings of the Philosophy of Science Association 2001 (3):S442-.
    Using an example of a computer simulation of the convective structure of a red giant star, this paper argues that simulation is a rich inferential process, and not simply a "number crunching" technique. The scientific practice of simulation, moreover, poses some interesting and challenging epistemological and methodological issues for the philosophy of science. I will also argue that these challenges would be best addressed by a philosophy of science that places less emphasis on the representational capacity of theories (and ascribes (...)
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  29. Eric Winsberg (2000). Review of M. Marion, Wittgenstein, Finitism, and the Foundations of Mathematics. [REVIEW] Philosophy of Science 67 (3):533-.
  30. Eric Winsberg, Mathias Frisch, Karen Merikangas Darling & Arthur Fine (2000). The Dappled World. Journal of Philosophy 97 (7):403-408.
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  31. Eric Winsberg (1999). Sanctioning Models: The Epistemology of Simulation. Science in Context 12 (2).
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  32. Eric Winsberg (1999). The Hierarchy of Models in Simulation. In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. 255--269.
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