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  1. Psa 2012.-Preprint Volume- - unknown
    These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2012.
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  • Always or Never: Two Approaches to Ceteris Paribus. [REVIEW]Toni Vogel Carey - 2012 - Erkenntnis 77 (3):317-333.
    The Scientific Revolution spawned not just one methodology, but two. We have emphasized Bacon's inductivism at the expense of Galileo's more abstract, sophisticated method of successive approximation, and so have failed to appreciate Galileo's contribution to the ceteris paribus problem in philosophy of science. My purpose here is to help redress this imbalance. I first briefly review the old unsolved problems, and then point out the Baconian basis of ceteris paribus, as this clause is conventionally understood, and its history from (...)
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  • Agent-based Models as Fictive Instantiations of Ecological Processes.Steven L. Peck - 2012 - Philosophy, Theory, and Practice in Biology 4 (20130604).
    Frigg and Reiss (2009) argue that philosophical problems in simulation bear enough resemblance to recognized issues in the philosophy of modeling that they only pose challenges analogous to those found in standard analytic models used to represent natural systems. They suggest that there are no new philosophical problems in computer simulation modeling beyond those found in traditional mathematical modeling. Winsberg (2009) has countered that there appear to be genuinely new epistemological problems in simulation modeling because the knowledge obtained from them (...)
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  • Special Issue: Philosophical Considerations in the Teaching of Biology. Part II, Evolution, Development and Genetics.Kostas Kampourakis (ed.) - 2013 - Springer (Science & Education).
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  • Special Issue: Philosophical Considerations in the Teaching of Biology. Part I, Philosophy of Biology and Biological Explanation.Kostas Kampourakis (ed.) - 2013 - Springer (Science & Education).
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  • Explanation and description in computational neuroscience.David Michael Kaplan - 2011 - Synthese 183 (3):339-373.
    The central aim of this paper is to shed light on the nature of explanation in computational neuroscience. I argue that computational models in this domain possess explanatory force to the extent that they describe the mechanisms responsible for producing a given phenomenon—paralleling how other mechanistic models explain. Conceiving computational explanation as a species of mechanistic explanation affords an important distinction between computational models that play genuine explanatory roles and those that merely provide accurate descriptions or predictions of phenomena. It (...)
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  • Isolation Is Not Characteristic of Models.Till Grüne-Yanoff - 2011 - International Studies in the Philosophy of Science 25 (2):119-137.
    Modelling cannot be characterized as isolating, nor models as isolations. This article presents three arguments to that effect, against Uskali Mäki's account of models. First, while isolation proceeds through a process of manipulation and control, modelling typically does not proceed through such a process. Rather, modellers postulate assumptions, without seeking to justify them by reference to a process of isolation. Second, while isolation identifies an isolation base—a concrete environment it seeks to control and manipulate—modelling typically does not identify such a (...)
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  • Causal isolation robustness analysis: the combinatorial strategy of circadian clock research.Tarja Knuuttila & Andrea Loettgers - 2011 - Biology and Philosophy 26 (5):773-791.
    This paper distinguishes between causal isolation robustness analysis and independent determination robustness analysis and suggests that the triangulation of the results of different epistemic means or activities serves different functions in them. Circadian clock research is presented as a case of causal isolation robustness analysis: in this field researchers made use of the notion of robustness to isolate the assumed mechanism behind the circadian rhythm. However, in contrast to the earlier philosophical case studies on causal isolation robustness analysis (Weisberg and (...)
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  • On the neural enrichment of economic models: tractability, trade-offs and multiple levels of description.Roberto Fumagalli - 2011 - Biology and Philosophy 26 (5):617-635.
    In the recent literature at the interface between economics, biology and neuroscience, several authors argue that by adopting an interdisciplinary approach to the analysis of decision making, economists will be able to construct predictively and explanatorily superior models. However, most economists remain quite reluctant to import biological or neural insights into their account of choice behaviour. In this paper, I reconstruct and critique one of the main arguments by means of which economists attempt to vindicate their conservative position. Furthermore, I (...)
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  • Approximation and Idealization: Why the Difference Matters.John D. Norton - 2012 - Philosophy of Science 79 (2):207-232.
    It is proposed that we use the term “approximation” for inexact description of a target system and “idealization” for another system whose properties also provide an inexact description of the target system. Since systems generated by a limiting process can often have quite unexpected, even inconsistent properties, familiar limit systems used in statistical physics can fail to provide idealizations, but are merely approximations. A dominance argument suggests that the limiting idealizations of statistical physics should be demoted to approximations.
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