Search results for 'robustness' (try it on Scholar)

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  1. Ryan Muldoon & Michael Weisberg (2011). Robustness and Idealization in Models of Cognitive Labor. Synthese 183 (2):161-174.score: 18.0
    Scientific research is almost always conducted by communities of scientists of varying size and complexity. Such communities are effective, in part, because they divide their cognitive labor: not every scientist works on the same project. Philip Kitcher and Michael Strevens have pioneered efforts to understand this division of cognitive labor by proposing models of how scientists make decisions about which project to work on. For such models to be useful, they must be simple enough for us to understand their dynamics, (...)
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  2. Brett Calcott (2011). Wimsatt and the Robustness Family: Review of Wimsatt's Re-Engineering Philosophy for Limited Beings. [REVIEW] Biology and Philosophy 26 (2):281-293.score: 12.0
    This review of Wimsatt’s book Re-engineering Philosophy for Limited Beings focuses on analysing his use of robustness, a central theme in the book. I outline a family of three distinct conceptions of robustness that appear in the book, and look at the different roles they play. I briefly examine what underwrites robustness, and suggest that further work is needed to clarify both the structure of robustness and the relation between it various conceptions.
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  3. D. Corfield (2010). Understanding the Infinite I: Niceness, Robustness, and Realism. Philosophia Mathematica 18 (3):253-275.score: 12.0
    This paper treats the situation where a single mathematical construction satisfies a multitude of interesting mathematical properties. The examples treated are all infinitely large entities. The clustering of properties is termed ‘niceness’ by the mathematician Michiel Hazewinkel, a concept we compare to the ‘robustness’ described by the philosopher of science William Wimsatt. In the final part of the paper, we bring our findings to bear on the question of realism which concerns not whether mathematical entities exist as abstract objects, (...)
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  4. Philippe Huneman (2010). Topological Explanations and Robustness in Biological Sciences. Synthese 177 (2):213-245.score: 12.0
    This paper argues that besides mechanistic explanations, there is a kind of explanation that relies upon “topological” properties of systems in order to derive the explanandum as a consequence, and which does not consider mechanisms or causal processes. I first investigate topological explanations in the case of ecological research on the stability of ecosystems. Then I contrast them with mechanistic explanations, thereby distinguishing the kind of realization they involve from the realization relations entailed by mechanistic explanations, and explain how both (...)
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  5. Jacob Stegenga (2009). Robustness, Discordance, and Relevance. Philosophy of Science 76 (5):650-661.score: 12.0
    Robustness is a common platitude: hypotheses are better supported with evidence generated by multiple techniques that rely on different background assumptions. Robustness has been put to numerous epistemic tasks, including the demarcation of artifacts from real entities, countering the “experimenter’s regress,” and resolving evidential discordance. Despite the frequency of appeals to robustness, the notion itself has received scant critique. Arguments based on robustness can give incorrect conclusions. More worrying is that although robustness may be valuable (...)
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  6. Michael Weisberg (2006). Robustness Analysis. Philosophy of Science 73 (5):730-742.score: 12.0
    Modelers often rely on robustness analysis, the search for predictions common to several independent models. Robustness analysis has been characterized and championed by Richard Levins and William Wimsatt, who see it as central to modern theoretical practice. The practice has also been severely criticized by Steven Orzack and Elliott Sober, who claim that it a non-empirical form of confirmation, only effective under unusual circumstances. This paper addresses Orzack and Sober’s criticisms by giving a new account of robustness (...)
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  7. Jay Odenbaugh & Anna Alexandrova (2011). Buyer Beware: Robustness Analyses in Economics and Biology. Biology and Philosophy 26 (5):757-771.score: 12.0
    Theoretical biology and economics are remarkably similar in their reliance on mathematical models, which attempt to represent real world systems using many idealized assumptions. They are also similar in placing a great emphasis on derivational robustness of modeling results. Recently philosophers of biology and economics have argued that robustness analysis can be a method for confirmation of claims about causal mechanisms, despite the significant reliance of these models on patently false assumptions. We argue that the power of (...) analysis has been greatly exaggerated. It is best regarded as a method of discovery rather than confirmation. (shrink)
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  8. Elisabeth A. Lloyd (2010). Confirmation and Robustness of Climate Models. Philosophy of Science 77 (5):971–984.score: 12.0
    Recent philosophical attention to climate models has highlighted their weaknesses and uncertainties. Here I address the ways that models gain support through observational data. I review examples of model fit, variety of evidence, and independent support for aspects of the models, contrasting my analysis with that of other philosophers. I also investigate model robustness, which often emerges when comparing climate models simulating the same time period or set of conditions. Starting from Michael Weisberg’s analysis of robustness, I conclude (...)
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  9. Adina L. Roskies (2008). Robustness and the New Riddle Revived. Ratio 21 (2):218–230.score: 12.0
    The problem of induction is perennially important in epistemology and the philosophy of science. In response to Goodman's 'New Riddle of Induction', Frank Jackson made a compelling case for there being no new riddle, by arguing that there are no nonprojectible properties. Although Jackson's denial of nonprojectible properties is correct, I argue here that he is mistaken in thinking that he thereby shows that there is no new riddle of induction, and demonstrate that his solution to the grue paradox fails (...)
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  10. Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni, Economics as Robustness Analysis.score: 12.0
    All economic models involve abstractions and idealisations. Economic theory itself does not tell which idealizations are truly fatal or harmful for the result and which are not. This is why much of what is seen as theoretical contribution in economics is constituted by deriving familiar results from different modelling assumptions. If a modelling result is robust with respect to particular modelling assumptions, the empirical falsity of these particular assumptions does not provide grounds for criticizing the result. In this paper we (...)
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  11. J. Kuorikoski, A. Lehtinen & C. Marchionni (2010). Economic Modelling as Robustness Analysis. British Journal for the Philosophy of Science 61 (3):541-567.score: 12.0
    We claim that the process of theoretical model refinement in economics is best characterised as robustness analysis: the systematic examination of the robustness of modelling results with respect to particular modelling assumptions. We argue that this practise has epistemic value by extending William Wimsatt’s account of robustness analysis as triangulation via independent means of determination. For economists robustness analysis is a crucial methodological strategy because their models are often based on idealisations and abstractions, and it is (...)
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  12. Kent W. Staley, Using Inferential Robustness to Establish the Security of an Evidence Claim.score: 12.0
    : Evidence claims depend on fallible assumptions. This paper discusses inferential robustness as a strategy for justifying evidence claims in spite of this fallibility. I argue that robustness can be understood as a means of establishing the partial security of evidence claims. An evidence claim is secure relative to an epistemic situation if it remains true in all scenarios that are epistemically possible relative to that epistemic situation.
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  13. James Logue (1997). Resiliency, Robustness and Rationality of Probability Judgements. International Studies in the Philosophy of Science 11 (1):21 – 34.score: 12.0
    This paper addresses and rejects claims that one can demonstrate experimentally that most untutored subjects are systematically and incurably irrational in their probability judgements and in some deductive reasoning tasks. From within a strongly subjectivist theory of probability, it develops the notions of resiliency —a measure of stability of judgements—and robustness —a measure of expected stability. It then becomes possible to understand subjects' behaviour in the Wason selection task, in examples which have been claimed to involve a 'base-rate fallacy', (...)
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  14. Tarja Knuuttila & Andrea Loettgers (2011). Causal Isolation Robustness Analysis: The Combinatorial Strategy of Circadian Clock Research. Biology and Philosophy 26 (5):773-791.score: 12.0
    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 (...)
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  15. Jacques Demongeot, Adrien Elena & Sylvain Sené (forthcoming). Robustness in Regulatory Networks: A Multi-Disciplinary Approach. Acta Biotheoretica.score: 12.0
    We give in this paper indications about the dynamical impact (as phenotypic changes) coming from the main sources of perturbation in biological regulatory networks. First, we define the boundary of the interaction graph expressing the regulations between the main elements of the network (genes, proteins, metabolites, ...). Then, we search what changes in the state values on the boundary could cause some changes of states in the core of the system (robustness to boundary conditions). After, we analyse the role (...)
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  16. Ryan Muldoon (2007). Robust Simulations. Philosophy of Science 74 (5):873-883.score: 12.0
    As scientists begin to study increasingly complex questions, many have turned to computer simulation to assist in their inquiry. This methodology has been challenged by both analytic modelers and experimentalists. A primary objection of analytic modelers is that simulations are simply too complicated to perform model verification. From the experimentalist perspective it is that there is no means to demonstrate the reality of simulation. The aim of this paper is to consider objections from both of these perspectives, and to argue (...)
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  17. Patrick Grim, Randy Au, Nancy Louie, Robert Rosenberger, William Braynen, Evan Selinger & Robb E. Eason (2008). A Graphic Measure for Game-Theoretic Robustness. Synthese 163 (2):273 - 297.score: 12.0
    Robustness has long been recognized as an important parameter for evaluating game-theoretic results, but talk of ‘robustness’ generally remains vague. What we offer here is a graphic measure for a particular kind of robustness (‘matrix robustness’), using a three-dimensional display of the universe of 2 × 2 game theory. In such a measure specific games appear as specific volumes (Prisoner’s Dilemma, Stag Hunt, etc.), allowing a graphic image of the extent of particular game-theoretic effects in terms (...)
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  18. Sylvia Culp (1994). Defending Robustness: The Bacterial Mesosome as a Test Case. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:46 - 57.score: 12.0
    Rasmussen (1993) argues that, because electron microscopists did not use robustness and would not have been warranted in using it as a criterion for the reality or the artifactuality of mesosomes, the bacterial mesosome serves as a test case for robustness that it fails. I respond by arguing that a more complete reading of the research literature on the mesosome shows that ultimately the more robust body of data did not support the mesosome and that electron microscopists used (...)
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  19. Laura Martignon & Michael Schmitt (1999). Simplicity and Robustness of Fast and Frugal Heuristics. Minds and Machines 9 (4):565-593.score: 12.0
    Intractability and optimality are two sides of one coin: Optimal models are often intractable, that is, they tend to be excessively complex, or NP-hard. We explain the meaning of NP-hardness in detail and discuss how modem computer science circumvents intractability by introducing heuristics and shortcuts to optimality, often replacing optimality by means of sufficient sub-optimality. Since the principles of decision theory dictate balancing the cost of computation against gain in accuracy, statistical inference is currently being reshaped by a vigorous new (...)
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  20. Jim Woodward (2006). Some Varieties of Robustness. Journal of Economic Methodology 13 (2):219-240.score: 12.0
    It is widely believed that robustness (of inferences, measurements, models, phenomena and relationships discovered in empirical investigation etc.) is a Good Thing. However, there are many different notions of robustness. These often differ both in their normative credentials and in the conditions that warrant their deployment. Failure to distinguish among these notions can result in the uncritical transfer of considerations which support one notion to contexts in which another notion is being deployed. This paper surveys several different notions (...)
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  21. Richard A. Healey (1992). Causation, Robustness, and EPR. Philosophy of Science 59 (2):282-292.score: 12.0
    In his recent work, Michael Redhead (1986, 1987, 1989, 1990) has introduced a condition he calls robustness which, he argues, a relation must satisfy in order to be causal. He has used this condition to argue further that EPR-type correlations are neither the result of a direct causal connection between the correlated events, nor the result of a common cause associated with the source of the particle pairs which feature in these events. Andrew Elby (1992) has used this same (...)
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  22. Robert Hudson, Model-Independence Vs. Robustness.score: 12.0
    My goal in this paper is to consider two separate but connected topics, one historical, the other philosophical. The first topic concerns the forms of reasoning contemporary experimental astrophysicists use to investigate the existence of WIMPs (weakly interacting massive particles). These forms of reasoning take two forms, one model-dependent and the other model-independent, and we examine the arguments one WIMP research group (DAMA) uses to support the latter. The second topic concerns recent support Kent Staley has offered for a form (...)
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  23. Francesco Guala & Luigi Mittone (2005). Experiments in Economics: External Validity and the Robustness of Phenomena. Journal of Economic Methodology 12 (4):495-515.score: 12.0
    External validity is the problem of generalizing results from laboratory to non?laboratory conditions. In this paper we review various ways in which the problem can be tackled, depending on the kind of experiment one is doing. Using a concrete example, we highlight in particular the distinction between external validity and robustness, and point out that many experiments are not aimed at a well?specified real?world target but rather contribute to a ?library of robust phenomena?, a body of experimental knowledge to (...)
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  24. J. D. Trout (1993). Robustness and Integrative Survival in Significance Testing: The World's Contribution to Rationality. British Journal for the Philosophy of Science 44 (1):1-15.score: 12.0
    Significance testing is the primary method for establishing causal relationships in psychology. Meehl [1978, 1990a, 1990b] and Faust [1984] argue that significance tests and their interpretation are subject to actuarial and psychological biases, making continued adherence to these practices irrational, and even partially responsible for the slow progress of the ‘soft’ areas of psychology. I contend that familiar standards of testing and literature review, along with recently developed meta-analytic techniques, are able to correct the proposed actuarial and psychological biases. In (...)
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  25. Randy Au Patrick Grim, Robert Rosenberger Nancy Louie, Evan Selinger William Braynen & E. Eason Robb (2008). A Graphic Measure for Game-Theoretic Robustness. Synthese 163 (2).score: 12.0
    Robustness has long been recognized as an important parameter for evaluating game-theoretic results, but talk of ‘robustness’ generally remains vague. What we offer here is a graphic measure for a particular kind of robustness (‘matrix robustness’), using a three-dimensional display of the universe of 2 × 2 game theory. In such a measure specific games appear as specific volumes (Prisoner’s Dilemma, Stag Hunt, etc.), allowing a graphic image of the extent of particular game-theoretic effects in terms (...)
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  26. L. Star, E. D. Ellen, K. Uitdehaag & F. W. A. Brom (2008). A Plea to Implement Robustness Into a Breeding Goal: Poultry as an Example. Journal of Agricultural and Environmental Ethics 21 (2).score: 12.0
    The combination of breeding for increased production and the intensification of housing conditions have resulted in increased occurrence of behavioral, physiological, and immunological disorders. These disorders affect health and welfare of production animals negatively. For future livestock systems, it is important to consider how to manage and breed production animals. In this paper, we will focus on selective breeding of laying hens. Selective breeding should not only be defined in terms of production, but should also include traits related to animal (...)
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  27. Mark Schroeder (2005). Realism and Reduction: The Quest for Robustness. Philosophers' Imprint 5 (1):1-18.score: 10.0
    It doesn’t seem possible to be a realist about the traditional Christian God while claiming to be able to reduce God talk in naturalistically acceptable terms. Reduction, in this case, seems obviously eliminativist. Many philosophers seem to think that the same is true of the normative—that reductive “realists” about the normative are not really realists about the normative at all, or at least, only in some attenuated sense. This paper takes on the challenge of articulating what it is that makes (...)
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  28. James R. Beebe & Mark Jensen (2012). Surprising Connections Between Knowledge and Action: The Robustness of the Epistemic Side-Effect Effect. Philosophical Psychology 25 (5):689 - 715.score: 10.0
    A number of researchers have begun to demonstrate that the widely discussed ?Knobe effect? (wherein participants are more likely to think that actions with bad side-effects are brought about intentionally than actions with good or neutral side-effects) can be found in theory of mind judgments that do not involve the concept of intentional action. In this article we report experimental results that show that attributions of knowledge can be influenced by the kinds of (non-epistemic) concerns that drive the Knobe effect. (...)
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  29. Jonathan Birch (2012). Robust Processes and Teleological Language. European Journal for Philosophy of Science 3 (3):299-312.score: 10.0
    I consider some hitherto unexplored examples of teleological language in the sciences. In explicating these examples, I aim to show (a) that such language is not the sole preserve of the biological sciences, and (b) that not all such talk is reducible to the ascription of functions. In chemistry and biochemistry, scientists explaining molecular rearrangements and protein folding talk informally of molecules rearranging “in order to” maximize stability. Evolutionary biologists, meanwhile, often speak of traits evolving “in order to” optimize some (...)
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  30. Scott Woodcock & Joseph Heath (2002). The Robustness of Altruism as an Evolutionary Strategy. Biology and Philosophy 17 (4).score: 10.0
    Kin selection, reciprocity and group selection are widely regarded as evolutionary mechanisms capable of sustaining altruism among humans andother cooperative species. Our research indicates, however, that these mechanisms are only particular examples of a broader set of evolutionary possibilities.In this paper we present the results of a series of simple replicator simulations, run on variations of the 2–player prisoner's dilemma, designed to illustrate the wide range of scenarios under which altruism proves to be robust under evolutionary pressures. The set of (...)
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  31. Johan J. Graafland, S. C. W. Eijffinger & H. SmidJohan (2004). Benchmarking of Corporate Social Responsibility: Methodological Problems and Robustness. Journal of Business Ethics 53 (1-2):137-152.score: 10.0
    This paper investigates the possibilities and problems of benchmarking Corporate Social Responsibility (CSR). After a methodological analysis of the advantages and problems of benchmarking, we develop a benchmark method that includes economic, social and environmental aspects as well as national and international aspects of CSR. The overall benchmark is based on a weighted average of these aspects. The weights are based on the opinions of companies and NGO's. Using different methods of weighting, we find that the outcome of the benchmark (...)
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  32. Igal Kvart, The Non-Gradability of 'Know' is Not a Viable Argument Against Contextualism.score: 9.0
    I argue that 'know' is only partly, though considerably, gradable. Its being only partly gradable is explained by its multi-parametrical character. That is, its truth-conditions involve different parameters, which are scalar in character, each of which is fully gradable. Robustness of knowledge may be higher or lower along different dimensions and different modes. This has little to do with whether 'know' is context-dependent, but it undermines Stanley's argument that the non-gradability of 'know' renders it non-context-dependent.
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  33. Joseph Heath, The Robustness of Altruism as an Evolutionary Strategy.score: 9.0
    1Department of Philosophy, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, 2 ´ ´ ´ Canada; Departement de Philosophie, Universite de Montreal, C.P. 6128, succursale Centre-ville.
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  34. Klaus Nehring (2009). Coping Rationally with Ambiguity: Robustness Versus Ambiguity-Aversion. Economics and Philosophy 25 (3):303-334.score: 9.0
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  35. Steven E. Wallis (ed.) (2010). The Structure of Theory and the Structure of Scientific Revolutions: What Constitutes an Advance in Theory? IGI Global.score: 9.0
    From a Kuhnian perspective, a paradigmatic revolution in management science will significantly improve our understanding of the business world and show practitioners (including managers and consultants) how to become much more effective. Without an objective measure of revolution, however, the door is open for spurious claims of revolutionary advance. Such claims cause confusion among scholars and practitioners and reduce the legitimacy of university management programs. Metatheoretical methods, based on insights from systems theory, provide new tools for analyzing the structure of (...)
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  36. Simon M. Huttegger (2007). Robustness in Signaling Games. Philosophy of Science 74 (5):839-847.score: 9.0
    The spontaneous emergence of signaling has already been studied in terms of standard evolutionary dynamics of signaling games. Standard evolutionary dynamics is given by the replicator equations. Thus, it is not clear whether the results for standard evolutionary dynamics depend crucially on the functional form of the replicator equations. In this paper I show that the basic results for the replicator dynamics of signaling games carry over to a number of other evolutionary dynamics. ‡This research was supported by the Konrad (...)
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  37. Pat A. Manfredi & Donna M. Summerfield (1992). Robustness Without Asymmetry: A Flaw in Fodor's Theory of Content. Philosophical Studies 66 (3):261-83.score: 9.0
  38. Jay Odenbaugh (2011). True Lies: Realism, Robustness, and Models. Philosophy of Science 78 (5):1177-1188.score: 9.0
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  39. Mauricio Suárez & Iñaki San Pedro, Causal Markov, Robustness and the Quantum Correlations.score: 9.0
    It is still a matter of controversy whether the Principle of the Common Cause (PCC) can be used as a basis for sound causal inference. It is thus to be expected that its application to quantum mechanics should be a correspondingly controversial issue. Indeed the early 90’s saw a flurry of papers addressing just this issue in connection with the EPR correlations. Yet, that debate does not seem to have caught up with the most recent literature on causal inference generally, (...)
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  40. Brian Skyrms (2007). Dynamic Networks and the Stag Hunt: Some Robustness Considerations. Biological Theory 2 (1):7-9.score: 9.0
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  41. J. McKenzie Alexander, Robustness, Optimality, and the Handicap Principle.score: 9.0
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  42. Hiroaki Kitano & Kanae Oda (2006). Self-Extending Symbiosis: A Mechanism for Increasing Robustness Through Evolution. Biological Theory 1 (1):61-66.score: 9.0
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  43. Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni (2012). Robustness Analysis Disclaimer: Please Read the Manual Before Use! Biology and Philosophy 27 (6):891-902.score: 9.0
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  44. Zachary Ernst (2005). Robustness and Conceptual Analysis in Evolutionary Game Theory. Philosophy of Science 72 (5):1187-1196.score: 9.0
  45. Peter Hammerstein, Edward H. Hagen, Andreas V. M. Herz & Hanspeter Herzel (2006). Robustness: A Key to Evolutionary Design. Biological Theory 1 (1):90-93.score: 9.0
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  46. Christophe Abraham & Jean-Pierre Daures (2000). Global Robustness with Respect to the Loss Function and the Prior. Theory and Decision 48 (4):359-381.score: 9.0
    We propose a class [I,S] of loss functions for modeling the imprecise preferences of the decision maker in Bayesian Decision Theory. This class is built upon two extreme loss functions I and S which reflect the limited information about the loss function. We give an approximation of the set of Bayes actions for every loss function in [I,S] and every prior in a mixture class; if the decision space is a subset of R, we obtain the exact set.
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  47. Jani Raerinne (forthcoming). Robustness and Sensitivity of Biological Models. Philosophical Studies.score: 9.0
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  48. Paul Vogt (2012). Exploring the Robustness of Cross-Situational Learning Under Zipfian Distributions. Cognitive Science 36 (4):726-739.score: 9.0
    Cross-situational learning has recently gained attention as a plausible candidate for the mechanism that underlies the learning of word-meaning mappings. In a recent study, Blythe and colleagues have studied how many trials are theoretically required to learn a human-sized lexicon using cross-situational learning. They show that the level of referential uncertainty exposed to learners could be relatively large. However, one of the assumptions they made in designing their mathematical model is questionable. Although they rightfully assumed that words are distributed according (...)
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  49. Lan J. Dove (2005). On Assertion and Robustness. Southwest Philosophy Review 21 (1):85-92.score: 9.0
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  50. James Justus (2012). The Elusive Basis of Inferential Robustness. Philosophy of Science 79 (5):795-807.score: 9.0
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  51. Michael Trevor Bycroft (2010). Going Outside the Model: Robustness Analysis and Experimental Science. Spontaneous Generations 3 (1).score: 9.0
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  52. Jan Sprenger (2012). Environmental Risk Analysis: Robustness Is Essential for Precaution. Philosophy of Science 79 (5):881-892.score: 9.0
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  53. Kevin D. Hoover (2006). Fragility and Robustness in Econometrics: Introduction to the Symposium. Journal of Economic Methodology 13 (2):159-160.score: 9.0
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  54. S. Parker (1992). ?Robustness? Of Implicit Processes: Artifact or Evidence of Antiquity? Consciousness and Cognition 1 (2):134-138.score: 9.0
  55. Mauricio Suárez & Iñaki San Pedro, EPR, Robustness and the Causal Markov Condition.score: 9.0
    It is still a matter of controversy whether the Principle of the Common Cause (PCC) can be used as a basis for sound causal inference. It is thus to be expected that its application to quantum mechanics should be a correspondingly controversial issue. Indeed the early 90's saw a flurry of papers addressing just this issue in connection with the EPR correlations. Yet, that debate does not seem to have caught up with the most recent literature on causal inference generally, (...)
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  56. Eyal Winter (1996). Mechanism Robustness in Multilateral Bargaining. Theory and Decision 40 (2):131-147.score: 9.0
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  57. Alexander Rueger (2000). Robust Supervenience and Emergence. Philosophy of Science 67 (3):466-491.score: 8.0
    Non-reductive physicalists have made a number of attempts to provide the relation of supervenience between levels of properties with enough bite to analyze interesting cases without at the same time losing the relation's acceptability for the physicalist. I criticize some of these proposals and suggest an alternative supplementation of the supervenience relation by imposing a requirement of robustness which is motivated by the notion of structural stability familiar from dynamical systems theory. Robust supervenience, I argue, captures what the non-reductive (...)
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  58. Michael Weisberg & Kenneth Reisman (2008). The Robust Volterra Principle. Philosophy of Science 75 (1):106-131.score: 6.0
    Theorizing in ecology and evolution often proceeds via the construction of multiple idealized models. To determine whether a theoretical result actually depends on core features of the models and is not an artifact of simplifying assumptions, theorists have developed the technique of robustness analysis, the examination of multiple models looking for common predictions. A striking example of robustness analysis in ecology is the discovery of the Volterra Principle, which describes the effect of general biocides in predator-prey systems. This (...)
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  59. B. Brewer, Robust Evidence and Secure Evidence Claims.score: 6.0
    Many philosophers have claimed that evidence for a theory is better when multiple independent tests yield the same result, i.e., when experimental results are robust. Little has been said about the grounds on which such a claim rests, however. The present essay presents an analysis of the evidential value of robustness that rests on the fallibility of assumptions about the reliability of testing procedures and a distinction between the strength of evidence and the security of an evidence claim. (...) can enhance the security of an evidence claim either by providing what I call second-order evidence, or by providing back-up evidence for a hypothesis. (shrink)
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  60. Steven E. Wallis (2011). Avoiding Policy Failure. Emergent Publications.score: 6.0
    Why do policies fail? How can we objectively choose the best policy from two (or more) competing alternatives? How can we create better policies? To answer these critical questions this book presents an innovative yet workable approach. Avoiding Policy Failure uses emerging metapolicy methodologies in case studies that compare successful policies with ones that have failed. Those studies investigate the systemic nature of each policy text to gain new insights into why policies fail. -/- In addition to providing intriguing directions (...)
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  61. Barry Schwartz, Yakov Ben-Haim & Cliff Dacso (2011). What Makes a Good Decision? Robust Satisficing as a Normative Standard of Rational Decision Making. Journal for the Theory of Social Behaviour 41 (2):209-227.score: 6.0
    Most decisions in life involve ambiguity, where probabilities can not be meaningfully specified, as much as they involve probabilistic uncertainty. In such conditions, the aspiration to utility maximization may be self-deceptive. We propose “robust satisficing” as an alternative to utility maximizing as the normative standard for rational decision making in such circumstances. Instead of seeking to maximize the expected value, or utility, of a decision outcome, robust satisficing aims to maximize the robustness to uncertainty of a satisfactory outcome. That (...)
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  62. Kent W. Staley (2004). Robust Evidence and Secure Evidence Claims. Philosophy of Science 71 (4):467-488.score: 6.0
    Many philosophers have claimed that evidence for a theory is better when multiple independent tests yield the same result, i.e., when experimental results are robust. Little has been said about the grounds on which such a claim rests, however. The present essay presents an analysis of the evidential value of robustness that rests on the fallibility of assumptions about the reliability of testing procedures and a distinction between the strength of evidence and the security of an evidence claim. (...) can enhance the security of an evidence claim either by providing what I call second-order evidence, or by providing back-up evidence for a hypothesis. (shrink)
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  63. Alfons Schuster & Yoko Yamaguchi (2009). The Survival of the Fittest and the Reign of the Most Robust: In Biology and Elsewhere. Minds and Machines 19 (3):361-389.score: 6.0
    Darwin’s insight that species are mutable, and descent, and origin by means of natural selection is one of the most widely acknowledged strategies for the origin of species and their survival in nature. In his famous contribution, however, Darwin also writes that he is convinced that “... Natural Selection has been the main but not exclusive means of modification ” (Darwin in The origin of species. Oxford Univeristy Press, Oxford, p. 7, 1996 ). This research suggests robustness as another (...)
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  64. Ryan Muldoon, Tony Smith & Michael Weisberg (2012). Segregation That No One Seeks. Philosophy of Science 79 (1):38-62.score: 6.0
    This paper examines a series of Schelling-like models of residential segregation, in which agents prefer to be in the minority. We demon- strate that as long as agents care about the characteristics of their wider community, they tend to end up in a segregated state. We then investigate the process that causes this, and conclude that the result hinges on the similarity of informational states amongst agents of the same type. This is quite di erent from Schelling-like behavior, and sug- gests (...)
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  65. Steven J. Brams & D. Marc Kilgour (1998). Backward Induction Is Not Robust: The Parity Problem and the Uncertainty Problem. Theory and Decision 45 (3):263-289.score: 6.0
    A cornerstone of game theory is backward induction, whereby players reason backward from the end of a game in extensive form to the beginning in order to determine what choices are rational at each stage of play. Truels, or three-person duels, are used to illustrate how the outcome can depend on (1) the evenness/oddness of the number of rounds (the parity problem) and (2) uncertainty about the endpoint of the game (the uncertainty problem). Since there is no known endpoint in (...)
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  66. Tamás Biró (2013). Towards a Robuster Interpretive Parsing. Journal of Logic, Language and Information 22 (2):139-172.score: 6.0
    The input data to grammar learning algorithms often consist of overt forms that do not contain full structural descriptions. This lack of information may contribute to the failure of learning. Past work on Optimality Theory introduced Robust Interpretive Parsing (RIP) as a partial solution to this problem. We generalize RIP and suggest replacing the winner candidate with a weighted mean violation of the potential winner candidates. A Boltzmann distribution is introduced on the winner set, and the distribution’s parameter $T$ is (...)
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  67. Steven E. Wallis (2010). Toward More Robust Policy Models. Integral Review 6 (1):153-160.score: 6.0
    The current state of the world suggests we have some difficulty in developing effective policy. This paper demonstrates two methods for the objective analysis of logic models within policy documents. By comparing policy models, we will be better able to compare policies and so determine which policy is best. Our ability to develop effective policy is reflected across the social sciences where our ability to create effective theoretical models is being called into question. The broad scope of this issue suggests (...)
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  68. Chris Manning, Robust Machine Translation Evaluation with Entailment Features.score: 6.0
    Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We believe that the main reason is their inability to properly capture meaning: A good translation candidate means the same thing as the reference translation, regardless of formulation. We propose a metric that evaluates MT output based on a rich set of features motivated by textual entailment, such as lexical-semantic (in-)compatibility and argument structure overlap. We compare this metric (...)
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  69. Jim Leitzel (2013). Toward Drug Control: Exclusion and Buyer Licensing. Criminal Law and Philosophy 7 (1):99-119.score: 6.0
    The uncertainties associated with the precise nature of legalization regimes and with their expected outcomes sometimes are used to justify the maintenance of drug prohibition. This paper details the role that buyer licensing and exclusion might play in implementing a low-risk, post-prohibition drug regulatory regime. Buyer licensing and exclusion provide assistance to those who exhibit or are worried about self-control problems with drugs, while not being significantly constraining upon those who are informed and satisfied drug consumers. Relative to prohibition, licensing (...)
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  70. David Enoch (2003). An Argument for Robust Metanormative Realism. Dissertation, New York Universityscore: 4.0
    In this essay, I defend a view I call “Robust Realism” about normativity. According to this view, there are irreducibly, perfectly objective, normative truths, that when successful in our normative inquiries we discover rather than create or construct. My argument in support of Robust Realism is modeled after arguments from explanatory indispensability common in the philosophy of science and the philosophy of mathematics. I argue that irreducibly normative truths, though not explanatorily indispensable, are nevertheless deliberatively indispensable, and that this kind (...)
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  71. David Enoch (2011). Taking Morality Seriously: A Defense of Robust Realism. Oxford University Press.score: 4.0
    David Enoch develops, argues for, and defends Robust Realism--a strongly realist and objectivist view of ethics and normativity, according to which there are perfectly universal and objective moral truths.
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  72. Wendy S. Parker (2011). When Climate Models Agree: The Significance of Robust Model Predictions. Philosophy of Science 78 (4):579-600.score: 4.0
    This article identifies conditions under which robust predictive modeling results have special epistemic significance---related to truth, confidence, and security---and considers whether those conditions hold in the context of present-day climate modeling. The findings are disappointing. When today’s climate models agree that an interesting hypothesis about future climate change is true, it cannot be inferred---via the arguments considered here anyway---that the hypothesis is likely to be true or that scientists’ confidence in the hypothesis should be significantly increased or that a claim (...)
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  73. J. Adam Carter (2011). Radical Skepticism, Closure, and Robust Knowledge. Journal of Philosophical Research 36:115-133.score: 4.0
    The Neo-Moorean response to the radical skeptical challenge boldly maintains that we can know we’re not the victims of radical skeptical hypotheses; accordingly, our everyday knowledge that would otherwise be threatened by our inability to rule out such hypotheses stands unthreatened. Given the leverage such an approach has against the skeptic from the very start, the Neo-Moorean line is an especially popular one; as we shall see, though, it faces several commonly overlooked problems. An initial problem is that this particular (...)
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  74. Christoph Kelp (2013). Extended Cognition and Robust Virtue Epistemology. Erkenntnis 78 (2):245-252.score: 4.0
    Pritchard (Synthese 175,133–51, 2010) and Vaesen (Synthese forthcoming) have recently argued that robust virtue epistemology does not square with the extended cognition thesis that has enjoyed an increasing degree of popularity in recent philosophy of mind. This paper shows that their arguments fail. The relevant cases of extended cognition pose no new problem for robust virtue epistemology. It is shown that Pritchard’s and Vaesen’s cases can be dealt with in familiar ways by a number of virtue theories of knowledge.
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  75. Robert Francis Allen (2004). Robust Alternatives and Responsibility. Journal of Moral Philosophy 1 (1):21-29.score: 4.0
    The Principle of Robust Alternatives (PRA) states that an agent is responsible for doing something only if he/she could have performed a ‘robust’ alternative: another action having a different moral or practical value. Defenders of PRA maintain that it is not refuted by a ‘Frankfurt case’, given that its agent can be seen as having had such an alternative provided that we properly qualify that for which she is responsible . I argue here against two versions of this defense. First, (...)
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  76. Jesper Kallestrup & Duncan Pritchard (2012). Robust Virtue Epistemology and Epistemic Anti-Individualism. Pacific Philosophical Quarterly 93 (1):84-103.score: 4.0
    According to robust virtue epistemology, knowledge is a cognitive achievement, where this means that the agent's cognitive success is because of her cognitive ability. One type of objection to robust virtue epistemology that has been put forward in the contemporary literature is that this view has problems dealing with certain kinds of testimonial knowledge, and thus that it is in tension with standard views in the epistemology of testimony. We build on this critique to argue that insofar as agents epistemically (...)
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  77. Marcin Miłkowski (2008). When Weak Modularity is Robust Enough? Análisis Filosófico 28 (1):77-89.score: 4.0
    In this paper, I suggest that the notion of module explicitly defined by Peter Carruthers in The Architecture of The Mind (Carruthers 2006) is not really In use in the book. Instead, a more robust notion seems to be actually in play. The more robust notion, albeit implicitly assumed, seems to be far more useful for making claims about the modularity of mind. Otherwise, the claims would become trivial. This robust notion will be reconstructed and improved upon by putting it (...)
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  78. Charles Spinosa & Hubert L. Dreyfus (1999). Robust Intelligibility: Response to Our Critics. Inquiry 42 (2):177 – 194.score: 4.0
    Robust realism is defended by developing further the account in Inquiry 42 (1999), pp. 49-78 of how human beings make things and people intelligible. Incommensurate worlds imply a violation of the principle of noncontradiction, but this violation does not have the consequences normally feared. Given our capacities to make things intelligible, some things, like human action, are most intelligible when they are understood as contradictory (e.g. free and determined). Things-in-themselves need not have contradictory features for multiple orders of nature to (...)
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  79. Zahra Meghani (2011). A Robust, Particularist Ethical Assessment of Medical Tourism. Developing World Bioethics 11 (1):16-29.score: 4.0
    Recently, in increasing numbers, citizens of wealthy nations are heading to poorer countries for medical care. They are traveling to the global South as medical tourists because in their home nations either they cannot get timely medical care or they cannot afford needed treatments. This essay offers a robust, particularist ethical assessment of the practice of citizens of richer nations traveling to poorer countries for healthcare.
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  80. Akira Inoue (2007). Can a Right of Self-Ownership Be Robust? Law and Philosophy 26 (6):575-587.score: 4.0
    According to a renowned left-libertarian, Michael Otsuka, a libertarian right of self-ownership can be so robust that one need not sacrifice the use of one's mind and body to help others. In this article, I demonstrate that Otsuka's way of reconciling this robust conception of self-ownership with equality is not appealing and, at best, would provide limited guidance in the face of real-life uncertainty.
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  81. Jiji Zhang & Peter Spirtes (2008). Detection of Unfaithfulness and Robust Causal Inference. Minds and Machines 18 (2).score: 4.0
    Much of the recent work on the epistemology of causation has centered on two assumptions, known as the Causal Markov Condition and the Causal Faithfulness Condition. Philosophical discussions of the latter condition have exhibited situations in which it is likely to fail. This paper studies the Causal Faithfulness Condition as a conjunction of weaker conditions. We show that some of the weaker conjuncts can be empirically tested, and hence do not have to be assumed a priori. Our results lead to (...)
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  82. Barbara Fultner (2002). Inferentialism and Communicative Action: Robust Conceptions of Intersubjectivity. Philosophical Studies 108 (1-2):121 - 131.score: 4.0
    Brandom's inferentialism provides a semantics that complements Habermas's theory of communicative action without sacrificing its intersubjectivist insights. Pace Habermas, Brandom's conception of communication is robustly intersubjective. At the pragmatic level, interlocutors inherit each other's commitments and entitlements and must justify their claims when challenged; at the semantic level, anaphora show how the web of meaning is knit together, connecting expressions of the language as well as interlocutors. Finally, Habermas's thesis that there are three irreducible types of validity claim is preserved (...)
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  83. Mark A. Wrathall (1999). Practical Incommensurability and the Phenomenological Basis of Robust Realism. Inquiry 42 (1):79 – 88.score: 4.0
    This paper develops a modification of the notion of incommensurable worlds upon which Dreyfus and Spinosa base their robust realism. In particular, I argue that we cannot make sense of a conception of incommensurability according to which incommensurable worlds entail cognitively incompatible claims. Instead, as Dreyfus and Spinosa sometimes suggest, incommensurable worlds should be understood as being practically incompatible, meaning that the inhabitants of one world cannot, given their practices for dealing with some things, engage in practices central to the (...)
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  84. Jeff Malpas (1999). The Fragility of Robust Realism: A Reply to Dreyfus and Spinosa. Inquiry 42 (1):89 – 101.score: 4.0
    Hubert Dreyfus and Charles Spinosa's argument for 'robust' realism centres on the possibility of our having access to things as they are in themselves and so as having access to things in a way that is not dependent on our 'quotidian concerns or sensory capacities'. Dreyfus and Spinosa claim that our everyday access to things is incapable of providing access of this kind, since our everyday access is holistically enmeshed with our everyday attitudes and concerns. The argument that Dreyfus and (...)
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  85. Gregory Gandenberger (2010). Producing a Robust Body of Data with a Single Technique. Philosophy of Science 77 (3):381-399.score: 4.0
    When a technique purports to provide information that is not available to the unaided senses, it is natural to think that the only way to validate that technique is by appealing to a theory of the processes that lead from the object of study to the raw data. In fact, scientists have a variety of strategies for validating their techniques. Those strategies can yield multiple independent arguments that support the validity of the technique. Thus, it is possible to produce a (...)
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  86. M. Allen (2011). Is Liberty Bad for Your Health? Towards a Moderate View of the Robust Coequality of Liberty and Health. Public Health Ethics 4 (3):260-268.score: 4.0
    This article challenges the idea that the priority of liberty poses a threat to individual and population health. While acknowledging there are cases in which liberty does indeed pose a threat to the health of individuals and populations, I argue that the tension between liberty and health is overstated and that much can be done to relieve this tension. Indeed, liberty and health can and should be viewed as co-equal values in our broader conception of health justice. My thesis is (...)
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  87. Christopher Cox, Christopher D. Manning & Kristina Toutanova, Robust Textual Inference Using Diverse Knowledge Sources.score: 4.0
    We present a machine learning approach to robust textual inference, in which parses of the text and the hypothesis sentences are used to measure their asymmetric “similarity”, and thereby to decide if the hypothesis can be inferred. This idea is realized in two different ways. In the first, each sentence is represented as a graph (extracted from a dependency parser) in which the nodes are words/phrases, and the links represent dependencies. A learned, asymmetric, graph-matching cost is then computed to measure (...)
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  88. Timothy Herron, Teddy Seidenfeld & Larry Wasserman (1994). The Extent of Dilation of Sets of Probabilities and the Asymptotics of Robust Bayesian Inference. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:250 - 259.score: 4.0
    We report two issues concerning diverging sets of Bayesian (conditional) probabilities-divergence of "posteriors"-that can result with increasing evidence. Consider a set P of probabilities typically, but not always, based on a set of Bayesian "priors." Fix E, an event of interest, and X, a random variable to be observed. With respect to P, when the set of conditional probabilities for E, given X, strictly contains the set of unconditional probabilities for E, for each possible outcome X = x, call this (...)
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  89. Panayot Butchvarov (forthcoming). Our Robust Sense of ReaUty. Grazer Philosophische Studien:403-421.score: 4.0
    Anti-Meinongian philosophers, such as Russell, do not explain what they mean by existence when they deny that there are nonexistent objects — they just sense robustly. I argue that any plausible explanation of what they mean tends to undermine their view and to support the Meinongian view. But why are they so strongly convinced that they are right? I argue that the reason is to be found in the special character of the concept of existence, which has been insufficiently examined (...)
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  90. James Bohman (2006). Deliberative Democracy and the Epistemic Benefits of Diversity. Episteme 3 (3):175-191.score: 3.0
    It is often assumed that democracies can make good use of the epistemic benefi ts of diversity among their citizenry, but difficult to show why this is the case. In a deliberative democracy, epistemically relevant diversity has three aspects: the diversity of opinions, values, and perspectives. Deliberative democrats generally argue for an epistemic form of Rawls' difference principle: that good deliberative practice ought to maximize deliberative inputs, whatever they are, so as to benefi t all deliberators, including the least eff (...)
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  91. Aki Lehtinen & Jaakko Kuorikoski (2007). Unrealistic Assumptions in Rational Choice Theory. Philosophy of the Social Sciences 37 (2):115-138.score: 3.0
    The most common argument against the use of rational choice models outside economics is that they make unrealistic assumptions about individual behavior. We argue that whether the falsity of assumptions matters in a given model depends on which factors are explanatorily relevant. Since the explanatory factors may vary from application to application, effective criticism of economic model building should be based on model-specific arguments showing how the result really depends on the false assumptions. However, some modeling results in imperialistic applications (...)
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  92. Adolf Grünbaum (2004). The Poverty of Theistic Cosmology. British Journal for the Philosophy of Science 55 (4):561 - 614.score: 3.0
    Philosophers have postulated the existence of God to explain (I) why any contingent objects exist at all rather than nothing contingent, and (II) why the fundamental laws of nature and basic facts of the world are exactly what they are. Therefore, we ask: (a) Does (I) pose a well-conceived question which calls for an answer? and (b) Can God's presumed will (or intention) provide a cogent explanation of the basic laws and facts of the world, as claimed by (II)? We (...)
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  93. Susanne Bobzien (2010). Higher-Order Vagueness, Radical Unclarity, and Absolute Agnosticism. Philosophers' Imprint 10 (10):1-30.score: 3.0
    The paper presents a new theory of higher-order vagueness. This theory is an improvement on current theories of vagueness in that it (i) describes the kind of borderline cases relevant to the Sorites paradox, (ii) retains the ‘robustness’ of vague predicates, (iii) introduces a notion of higher-order vagueness that is compositional, but (iv) avoids the paradoxes of higher-order vagueness. The theory’s central building-blocks: Borderlinehood is defined as radical unclarity. Unclarity is defined by means of competent, rational, informed speakers (‘CRISPs’) (...)
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  94. Derk Pereboom (2002). Robust Nonreductive Materialism. Journal of Philosophy 99 (10):499-531.score: 3.0
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  95. Richard T. W. Arthur, Minkowski Spacetime and the Dimensions of the Present.score: 3.0
    In Minkowski spacetime, because of the relativity of simultaneity to the inertial frame chosen, there is no unique world-at-an-instant. Thus the classical view that there is a unique set of events existing now in a three dimensional space cannot be sustained. The two solutions most often advanced are (i) that the four-dimensional structure of events and processes is alone real, and that becoming present is not an objective part of reality; and (ii) that present existence is not an absolute notion, (...)
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  96. Jennifer Lackey (2008). What Luck is Not. Australasian Journal of Philosophy 86 (2):255 – 267.score: 3.0
    In this paper, I critically examine the two dominant views of the concept of luck in the current literature: lack of control accounts and modal accounts. In particular, I argue that the conditions proposed by such views—that is, a lack of control and the absence of counterfactual robustness—are neither necessary nor sufficient for an event's being lucky. Hence, I conclude that the two main accounts in the current literature both fail to capture what is distinctive of, and central to, (...)
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