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

343 found
Order:
  1. Elisabeth A. Lloyd (2010). Confirmation and Robustness of Climate Models. Philosophy of Science 77 (5):971–984.
    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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   18 citations  
  2. Jacob Stegenga (2009). Robustness, Discordance, and Relevance. Philosophy of Science 76 (5):650-661.
    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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   20 citations  
  3.  66
    Jonah N. Schupbach (forthcoming). Robustness Analysis as Explanatory Reasoning. British Journal for the Philosophy of Science.
    When scientists seek further confirmation of their results, they often attempt to duplicate the results using diverse means. To the extent that they are successful in doing so, their results are said to be robust. This paper investigates the logic of such "robustness analysis" [RA]. The most important and challenging question an account of RA can answer is what sense of evidential diversity is involved in RAs. I argue that prevailing formal explications of such diversity are unsatisfactory. I propose (...)
    Translate
      Direct download  
     
    Export citation  
     
    My bibliography  
  4.  93
    Philippe Huneman (2010). Topological Explanations and Robustness in Biological Sciences. Synthese 177 (2):213-245.
    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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   16 citations  
  5.  59
    Jonah N. Schupbach (2015). Robustness, Diversity of Evidence, and Probabilistic Independence. In Mäki, Ruphy, Schurz & Votsis (eds.), Recent Developments in the Philosophy of Science: EPSA13 Helsinki. Springer 305-316.
    In robustness analysis, hypotheses are supported to the extent that a result proves robust, and a result is robust to the extent that we detect it in diverse ways. But what precise sense of diversity is at work here? In this paper, I show that the formal explications of evidential diversity most often appealed to in work on robustness – which all draw in one way or another on probabilistic independence – fail to shed light on the notion (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  6.  21
    Elisabeth A. Lloyd (2015). Model Robustness as a Confirmatory Virtue: The Case of Climate Science. Studies in History and Philosophy of Science Part A 49:58-68.
    I propose a distinct type of robustness, which I suggest can support a confirmatory role in scientific reasoning, contrary to the usual philosophical claims. In model robustness, repeated production of the empirically successful model prediction or retrodiction against a background of independentlysupported and varying model constructions, within a group of models containing a shared causal factor, may suggest how confident we can be in the causal factor and predictions/retrodictions, especially once supported by a variety of (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  7.  37
    Markus I. Eronen (2015). Robustness and Reality. Synthese 192 (12):3961-3977.
    Robustness is often presented as a guideline for distinguishing the true or real from mere appearances or artifacts. Most of recent discussions of robustness have focused on the kind of derivational robustness analysis introduced by Levins, while the related but distinct idea of robustness as multiple accessibility, defended by Wimsatt, has received less attention. In this paper, I argue that the latter kind of robustness, when properly understood, can provide justification for ontological commitments. The idea (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  8.  88
    Ryan Muldoon & Michael Weisberg (2011). Robustness and Idealization in Models of Cognitive Labor. Synthese 183 (2):161-174.
    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, (...)
    Direct download (8 more)  
     
    Export citation  
     
    My bibliography   3 citations  
  9.  29
    Jani Raerinne (2013). Robustness and Sensitivity of Biological Models. Philosophical Studies 166 (2):285-303.
    The aim of this paper is to develop ideas about robustness analyses. I introduce a form of robustness analysis that I call sufficient parameter robustness, which has been neglected in the literature. I claim that sufficient parameter robustness is different from derivational robustness, the focus of previous research. My purpose is not only to suggest a new taxonomy of robustness, but also to argue that previous authors have concentrated on a narrow sense of (...) analysis, which they have inadequately distinguished from other investigations of models such as sensitivity analysis. (shrink)
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   2 citations  
  10.  31
    Robert Hudson (2009). The Methodological Strategy of Robustness in the Context of Experimental WIMP Research. Foundations of Physics 39 (2):174-193.
    According to the methodological principle called ‘robustness’, empirical evidence is more reliable when it is generated using multiple, independent (experimental) routes that converge on the same result. As it happens, robustness as a methodological strategy is quite popular amongst philosophers. However, despite its popularity, my goal here is to criticize the value of this principle on historical grounds. My historical reasons take into consideration some recent history of astroparticle physics concerning the search for WIMPs (weakly interacting massive particles), (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography   2 citations  
  11.  15
    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. [REVIEW] Journal of Agricultural and Environmental Ethics 21 (2):109-125.
    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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   2 citations  
  12.  34
    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.
    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 (...)
    Direct download (5 more)  
     
    Export citation  
     
    My bibliography   2 citations  
  13.  36
    Klodian Coko & Jutta Schickore (2013). Robustness, Solidity, and Multiple Determinations. Metascience 22 (3):681-683.
    Review of Soler et al. (eds.) Characterizing the robustness of science: After the practice turn in philosophy of science.
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  14.  3
    Frauke Hoss & Alex John London (forthcoming). Assessing the Moral Coherence and Moral Robustness of Social Systems: Proof of Concept for a Graphical Models Approach. Science and Engineering Ethics:1-19.
    This paper presents a proof of concept for a graphical models approach to assessing the moral coherence and moral robustness of systems of social interactions. “Moral coherence” refers to the degree to which the rights and duties of agents within a system are effectively respected when agents in the system comply with the rights and duties that are recognized as in force for the relevant context of interaction. “Moral robustness” refers to the degree to which a system of (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  15.  2
    Aki Lehtinen (forthcoming). Allocating Confirmation with Derivational Robustness. Philosophical Studies:1-23.
    Robustness may increase the degree to which the robust result is indirectly confirmed if it is shown to depend on confirmed rather than disconfirmed assumptions. Although increasing the weight with which existing evidence indirectly confirms it in such a case, robustness may also be irrelevant for confirmation, or may even disconfirm. Whether or not it confirms depends on the available data and on what other results have already been established.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  16.  1
    D. Wade Hands (2016). Derivational Robustness, Credible Substitute Systems and Mathematical Economic Models: The Case of Stability Analysis in Walrasian General Equilibrium Theory. European Journal for Philosophy of Science 6 (1):31-53.
    This paper supports the literature which argues that derivational robustness can have epistemic import in highly idealized economic models. The defense is based on a particular example from mathematical economic theory, the dynamic Walrasian general equilibrium model. It is argued that derivational robustness first increased and later decreased the credibility of the Walrasian model. The example demonstrates that derivational robustness correctly describes the practices of a particular group of influential economic theorists and provides support for the arguments (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  17.  17
    Kunihiko Kaneko (2011). Characterization of Stem Cells and Cancer Cells on the Basis of Gene Expression Profile Stability, Plasticity, and Robustness. Bioessays 33 (6):403-413.
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   7 citations  
  18.  3
    Anna Leuschner (2015). Uncertainties, Plurality, and Robustness in Climate Research and Modeling: On the Reliability of Climate Prognoses. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 46 (2):367-381.
    The paper addresses the evaluation of climate models and gives an overview of epistemic uncertainties in climate modeling; the uncertainties concern the data situation as well as the causal behavior of the climate system. In order to achieve reasonable results nonetheless, multimodel ensemble studies are employed in which diverse models simulate the future climate under different emission scenarios. The models jointly deliver a robust range of climate prognoses due to a broad plurality of theories, techniques, and methods in climate research; (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  19.  43
    Elizabeth Irvine (2015). Models, Robustness, and Non-Causal Explanation: A Foray Into Cognitive Science and Biology. Synthese 192 (12):3943-3959.
    This paper is aimed at identifying how a model’s explanatory power is constructed and identified, particularly in the practice of template-based modeling (Humphreys, Philos Sci 69:1–11, 2002; Extending ourselves: computational science, empiricism, and scientific method, 2004), and what kinds of explanations models constructed in this way can provide. In particular, this paper offers an account of non-causal structural explanation that forms an alternative to causal–mechanical accounts of model explanation that are currently popular in philosophy of biology and cognitive science. Clearly, (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  20.  5
    Kurt A. Richardson (2010). Robustness in Complex Information Systems: The Role of Information “Barriers” in Boolean Networks. Complexity 15 (3):26-42.
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  21.  6
    Eyal Winter (1996). Mechanism Robustness in Multilateral Bargaining. Theory and Decision 40 (2):131-147.
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  22.  15
    Jian‐Wei Wang (2012). Universal Robustness of Scale‐Free Networks Against Cascading Edge Failures. Complexity 17 (6):17-23.
    Direct download (5 more)  
     
    Export citation  
     
    My bibliography  
  23.  22
    Christophe Abraham & Jean-Pierre Daures (2000). Global Robustness with Respect to the Loss Function and the Prior. Theory and Decision 48 (4):359-381.
    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.
    Direct download (5 more)  
     
    Export citation  
     
    My bibliography  
  24. Michael Weisberg (2006). Robustness Analysis. Philosophy of Science 73 (5):730-742.
    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 is a nonempirical form of confirmation, effective only under unusual circumstances. This paper addresses Orzack and Sober's criticisms by giving a new account of (...) analysis and showing how the practice can identify robust theorems. Once the structure of robust theorems is clearly articulated, it can be shown that such theorems have a degree of confirmation, despite the lack of direct empirical evidence for their truth. (shrink)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   46 citations  
  25.  53
    J. Kuorikoski, A. Lehtinen & C. Marchionni (2010). Economic Modelling as Robustness Analysis. British Journal for the Philosophy of Science 61 (3):541-567.
    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 (...)
    Direct download (7 more)  
     
    Export citation  
     
    My bibliography   19 citations  
  26.  44
    Jim Woodward (2006). Some Varieties of Robustness. Journal of Economic Methodology 13 (2):219-240.
    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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   30 citations  
  27.  95
    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.
    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.
    Direct download (7 more)  
     
    Export citation  
     
    My bibliography   14 citations  
  28.  61
    Jay Odenbaugh & Anna Alexandrova (2011). Buyer Beware: Robustness Analyses in Economics and Biology. Biology and Philosophy 26 (5):757-771.
    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)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   13 citations  
  29.  18
    Chiara Lisciandra, Robustness Analysis and Tractability in Modeling.
    In the philosophy of science and epistemology literature, robustness analysis has become an umbrella term that refers to a variety of strategies. One of the main purposes of this paper is to argue that different strategies rely on different criteria for justifications. More specifically, I will claim that: i) robustness analysis differs from de-idealization even though the two concepts have often been conflated in the literature; ii) the comparison of different model frameworks requires different justifications than the comparison (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  30.  33
    Seth Shabo (2016). Robustness Revised: Frankfurt Cases and the Right Kind of Power to Do Otherwise. Acta Analytica 31 (1):89-106.
    Frankfurt’s famous counterexample strategy challenges the traditional association between moral responsibility and alternative possibilities. While this strategy remains controversial, it is now widely agreed that an adequate response to it must preserve an agent’s ability to do otherwise, and not the mere possibility, for only then is her alternative possibility sufficiently robust to ground her responsibility. Here, I defend a more stringent requirement for robustness. To have a robust alternative, I argue, the agent must have the right kind of (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  31.  31
    Tarja Knuuttila & Andrea Loettgers (2011). Causal Isolation Robustness Analysis: The Combinatorial Strategy of Circadian Clock Research. 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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   5 citations  
  32.  11
    Lena Soler (ed.) (2012). Characterizing the Robustness of Science: After the Practice Turn in Philosophy of Science. Springer Verlag.
    Featuring contributions from the world’s leading experts on the subject and based partly on several detailed case studies, this volume is the first comprehensive analysis of the scientific notion of robustness as well as of the general ...
    Direct download  
     
    Export citation  
     
    My bibliography   2 citations  
  33.  80
    Robbie Arrell (2014). The Source and Robustness of Duties of Friendship. International Journal of Philosophical Studies 22 (2):166-183.
    Certain relationships generate associative duties that exhibit robustness across change. It seems insufficient for friendship, for example, if I am only disposed to fulfil duties of friendship towards you as things stand here and now. However, robustness is not required across all variations. Were you to become monstrously cruel towards me, we might expect that my duties of friendship towards you would not be robust across that kind of change. The question then is this: is there any principled (...)
    No categories
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography  
  34.  30
    Francesco Guala & Luigi Mittone (2005). Experiments in Economics: External Validity and the Robustness of Phenomena. Journal of Economic Methodology 12 (4):495-515.
    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 (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography   5 citations  
  35.  22
    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.
    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 (...)
    Direct download  
     
    Export citation  
     
    My bibliography   11 citations  
  36. Richard A. Healey (1992). Causation, Robustness, and EPR. Philosophy of Science 59 (2):282-292.
    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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   3 citations  
  37. 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.
    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 (...)
    Direct download (8 more)  
     
    Export citation  
     
    My bibliography   3 citations  
  38.  45
    Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni, Economics as Robustness Analysis.
    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 (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography   4 citations  
  39.  79
    D. Corfield (2010). Understanding the Infinite I: Niceness, Robustness, and Realism. Philosophia Mathematica 18 (3):253-275.
    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, (...)
    Direct download (11 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  40.  4
    Lars Peter Hansen & Thomas J. Sargent (2007). Robustness. Princeton University Press.
    Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.
    Direct download  
     
    Export citation  
     
    My bibliography   2 citations  
  41.  41
    Adina L. Roskies (2008). Robustness and the New Riddle Revived. Ratio 21 (2):218–230.
    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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   2 citations  
  42.  9
    Hiroaki Kitano & Kanae Oda (2006). Self-Extending Symbiosis: A Mechanism for Increasing Robustness Through Evolution. Biological Theory 1 (1):61-66.
    Robustness is a fundamental property of biological systems, observed ubiquitously across species and at different levels of organization from gene regulation to ecosystem. The theory of biological robustness argues that robustness fosters evolv-ability and that together they entail various tradeoffs as well as characteristic architectures and mechanisms. We argue that classes of biological systems have evolved to enhance their robustness by extending their system boundary through a series of symbioses with foreign biological entities . A series (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography   3 citations  
  43.  20
    Andrew Buskell (2015). How to Be Skilful: Opportunistic Robustness and Normative Sensitivity. Synthese 192 (5):1445-1466.
    In a recent article, Fridland characterises a central capacity of skill users, an aspect she calls ‘control’. Control, according to Fridland, is evidenced in the way in which skill users are able to marshal a variety of mental and bodily resources in order to keep skill deployment operating fluidly and appropriately. According to Fridland, two prevalent contemporary accounts of skill—Stanley & Krakauer’s and Hubert Dreyfus’s —fail to account for the features of control, and do so necessarily. While I agree with (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  44.  15
    Brit Grosskopf, Yoella Bereby-Meyer & Max Bazerman (2007). On the Robustness of the Winner's Curse Phenomenon. Theory and Decision 63 (4):389-418.
    We set out to find ways to help decision makers overcome the “winner’s curse,” a phenomenon commonly observed in asymmetric information bargaining situations, and instead found strong support for its robustness. In a series of manipulations of the “Acquiring a Company Task,” we tried to enhance decision makers’ cognitive understanding of the task. We did so by presenting them with different parameters of the task, having them compare and contrast these different parameters, giving them full feedback on their history (...)
    No categories
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  45.  15
    Laura Martignon & Michael Schmitt (1999). Simplicity and Robustness of Fast and Frugal Heuristics. Minds and Machines 9 (4):565-593.
    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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    My bibliography   1 citation  
  46.  7
    Chiara Lisciandra (2015). Robustness Analysis Versus Reliable Process Reasoning. Metascience 24 (1):37-41.
    Robert Hudson’s book is a contribution to the recent debate on robustness analysis in scientific practice, with a specific focus on the empirical sciences. In this context, robustness analysis is defined as a way to increase the probability of a certain hypothesis by showing that the same result is obtained from several, alternative methods. The rationale underlying this practice is that it would be highly unlikely if different, independent means of observation provided the same wrong outcome.We do not (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  47.  2
    John C. McCabe-Dansted, Tim French, Sophie Pinchinat & Mark Reynolds (2015). Expressiveness and Succinctness of a Logic of Robustness. Journal of Applied Non-Classical Logics 25 (3):193-228.
    This paper compares the recently proposed Robust Full Computational Tree Logic to model robustness in concurrent systems with other computational tree logic -based logics. RoCTL* extends CTL* with the addition of the operators Obligatory and Robustly, which quantify over failure-free paths and paths with one more failure respectively. This paper focuses on examining the succinctness and expressiveness of RoCTL* by presenting translations to and from RoCTL*. The core result of this paper is to show that RoCTL* is expressively equivalent (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  48.  29
    Kent W. Staley, Using Inferential Robustness to Establish the Security of an Evidence Claim.
    : 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.
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography  
  49.  23
    Klaus Nehring (2009). Coping Rationally with Ambiguity: Robustness Versus Ambiguity-Aversion. Economics and Philosophy 25 (3):303-334.
    Al-Najjar and Weinstein (2009) argue that the extant literature on ambiguity aversion is not successful in accounting for Ellsberg choices as rational responses to ambiguity. We concur, and propose that rational choice under ambiguity aims at robustness rather than avoidance of ambiguity. A central argument explains why robust choice is intrinsically context-dependent and legitimately violates standard choice consistency conditions. If choice consistency is forced, however, ambiguity-aversion emerges as a semi-rational response to ambiguity.
    Direct download (7 more)  
     
    Export citation  
     
    My bibliography  
  50.  2
    Cristián Santibáñez-Yáñez (2015). Robustness as a category for the analysis of cognition: the case of argumentative competence. Cinta de Moebio 52:60-68.
    In this paper the theoretical power of the concept of robustness is discussed in order to characterize the argumentative competence of a speaker. This notion is countered with the extended use of the idea complexity. As a general background some empirical results are used to support the theoretical discussion. The paper mainly relies on the theory of cultural cognition to situate the category of robustness and offers particular criteria to specify the possible operationalization of the notion. These criteria (...)
    No categories
    Translate
      Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
1 — 50 / 343