Results for 'Cognitive bias'

997 found
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  1. Cognitive Bias, the Axiological Question and the Epistemic Probability of Theistic Belief.Dan Linford & Jason Megill - 2018 - In Mirosław Szatkowski (ed.), Ontology of Theistic Beliefs: Meta-Ontological Perspectives. De Gruyter. pp. 77-92.
    Some recent work in philosophy of religion addresses what can be called the “axiological question,” i.e., regardless of whether God exists, would it be good or bad if God exists? Would the existence of God make the world a better or a worse place? Call the view that the existence of God would make the world a better place “Pro-Theism.” We argue that Pro-Theism is not implausible, and moreover, many Theists, at least, (often implicitly) think that it is true. That (...)
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  2. When, and How, Should Cognitive Bias Matter to Law.Govind Persad - 2014 - Law and Ineq 32:31.
    Recent work in the behavioral sciences asserts that we are subject to a variety of cognitive biases. For example, we mourn losses more than we prize equivalently sized gains; we are more inclined to believe something if it matches our previous beliefs; and we even relate more warmly or coldly to others depending on whether the coffee cup we are holding is warm or cold. Drawing on this work, case law and legal scholarship have asserted that we have reason (...)
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  3. Self-reflexive cognitive bias.Joshua Mugg & Muhammad Ali Khalidi - 2021 - European Journal for Philosophy of Science 11 (3):1-21.
    Cognitive scientists claim to have discovered a large number of cognitive biases, which have a tendency to mislead reasoners. Might cognitive scientists themselves be subject to the very biases they purport to discover? And how should this alter the way they evaluate their research as evidence for the existence of these biases? In this paper, we posit a new paradox (the ‘Self-Reflexive Bias Paradox’), which bears a striking resemblance to some classical logical paradoxes. Suppose that research (...)
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  4. Causation, Norms, and Cognitive Bias.Levin Güver & Markus Kneer - manuscript
    Extant research has shown that ordinary causal judgments are sensitive to normative factors. For instance, agents who violate a norm are standardly deemed more causal than norm-conforming agents in identical situations. In this paper, we explore two competing explanations for the Norm Effect: the Responsibility View and the Bias View. According to the former, the Norm Effect arises because ordinary causal judgment is intimately intertwined with moral responsibility. According to the alternative view, the Norm Effect is the result of (...)
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  5. Abstract: Cognitive Risk Bias and the Threat to the Semantics of Knowledge Ascriptions.Igal Kvart - manuscript
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  6. Illegitimate Values, Confirmation Bias, and Mandevillian Cognition in Science.Uwe Peters - 2021 - British Journal for the Philosophy of Science 72 (4):1061-1081.
    In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even (...)
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  7. Egocentric Bias and Doubt in Cognitive Agents.Nanda Kishore Sreenivas & Shrisha Rao - forthcoming - 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), Montreal, Canada, May 2019.
    Modeling social interactions based on individual behavior has always been an area of interest, but prior literature generally presumes rational behavior. Thus, such models may miss out on capturing the effects of biases humans are susceptible to. This work presents a method to model egocentric bias, the real-life tendency to emphasize one's own opinion heavily when presented with multiple opinions. We use a symmetric distribution, centered at an agent's own opinion, as opposed to the Bounded Confidence (BC) model used (...)
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  8. Bias and Perception.Susanna Siegel - 2020 - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind. New York, NY, USA: Routledge. pp. 99-115.
    chapter on perception and bias including implicit bias.
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  9. The Heterogeneity of Implicit Bias.Jules Holroyd & Joseph Sweetman - 2016 - In Michael Brownstein & Jennifer Mather Saul (eds.), Implicit Bias and Philosophy, Volume 1: Metaphysics and Epistemology. Oxford, United Kingdom: Oxford University Press.
    The term 'implicit bias' has very swiftly been incorporated into philosophical discourse. Our aim in this paper is to scrutinise the phenomena that fall under the rubric of implicit bias. The term is often used in a rather broad sense, to capture a range of implicit social cognitions, and this is useful for some purposes. However, we here articulate some of the important differences between phenomena identified as instances of implicit bias. We caution against ignoring these differences: (...)
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  10. Implicit Bias, Moods, and Moral Responsibility.Alex Madva - 2017 - Pacific Philosophical Quarterly 99 (S1):53-78.
    Are individuals morally responsible for their implicit biases? One reason to think not is that implicit biases are often advertised as unconscious, ‘introspectively inaccessible’ attitudes. However, recent empirical evidence consistently suggests that individuals are aware of their implicit biases, although often in partial and inarticulate ways. Here I explore the implications of this evidence of partial awareness for individuals’ moral responsibility. First, I argue that responsibility comes in degrees. Second, I argue that individuals’ partial awareness of their implicit biases makes (...)
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  11. Generalization Bias in Science.Uwe Peters, Alexander Krauss & Oliver Braganza - 2022 - Cognitive Science 46 (9):e13188.
    Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is (...)
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  12. Developing Attention and Decreasing Affective Bias: Towards a Cross-Cultural Cognitive Science of Mindfulness.Jake H. Davis & Evan Thompson - 2015 - In John D. Creswell Kirk W. Brown (ed.), Handbook of Mindfulness: Theory and Research,. Guilford Press.
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  13. Confirmation bias without rhyme or reason.Matthias Michel & Megan A. K. Peters - 2020 - Synthese 199 (1-2):2757-2772.
    Having a confirmation bias sometimes leads us to hold inaccurate beliefs. So, the puzzle goes: why do we have it? According to the influential argumentative theory of reasoning, confirmation bias emerges because the primary function of reason is not to form accurate beliefs, but to convince others that we’re right. A crucial prediction of the theory, then, is that confirmation bias should be found only in the reasoning domain. In this article, we argue that there is evidence (...)
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  14. Evidence and Bias.Nick Hughes - 2019 - In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook of the Philosophy of Evidence. Routledge.
    I argue that evidentialism should be rejected because it cannot be reconciled with empirical work on bias in cognitive and social psychology.
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  15. Cognitive Dissonance and the Logic of Racism.Berit Brogaard & Dimitria Electra Gatzia - 2021 - In Berit Brogaard & Dimitria Electra Gatzia (eds.), The Philosophy and Psychology of Ambivalence: Being of Two Minds. New York: Routledge. pp. 219-243.
    Cognitive dissonance is a kind of ambivalence in which your apprehension of the fact that you performed or want to perform an action of which you disapprove gives rise to psychological distress. This, in turn, causes you to solicit unconscious processes that can help you reduce the distress. Here we look at the role that cognitive dissonance plays in explaining the inner workings of racism. We distinguish between three types of racist acts: inadvertent bigotry, habitual racism, and explicit (...)
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  16. Understanding Implicit Bias: Putting the Criticism into Perspective.Michael Brownstein, Alex Madva & Bertram Gawronski - 2020 - Pacific Philosophical Quarterly 101 (2):276-307.
    What is the status of research on implicit bias? In light of meta‐analyses revealing ostensibly low average correlations between implicit measures and behavior, as well as various other psychometric concerns, criticism has become ubiquitous. We argue that while there are significant challenges and ample room for improvement, research on the causes, psychological properties, and behavioral effects of implicit bias continues to deserve a role in the sciences of the mind as well as in efforts to understand, and ultimately (...)
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  17. Implicit Bias and Prejudice.Jules Holroyd & Kathy Puddifoot - 2019 - In M. Fricker, N. J. L. L. Pedersen, D. Henderson & P. J. Graham (eds.), Routledge Handbook of Social Epistemology. Routledge.
    Recent empirical research has substantiated the finding that very many of us harbour implicit biases: fast, automatic, and difficult to control processes that encode stereotypes and evaluative content, and influence how we think and behave. Since it is difficult to be aware of these processes - they have sometimes been referred to as operating 'unconsciously' - we may not know that we harbour them, nor be alert to their influence on our cognition and action. And since they are difficult to (...)
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  18. Conceptual Centrality and Implicit Bias.Del Pinal Guillermo & Spaulding Shannon - 2018 - Mind and Language 33 (1):95-111.
    How are biases encoded in our representations of social categories? Philosophical and empirical discussions of implicit bias overwhelmingly focus on salient or statistical associations between target features and representations of social categories. These are the sorts of associations probed by the Implicit Association Test and various priming tasks. In this paper, we argue that these discussions systematically overlook an alternative way in which biases are encoded, that is, in the dependency networks that are part of our representations of social (...)
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  19. Motivational pessimism and motivated cognition.Stephen Gadsby - 2024 - Synthese 203 (4):1-18.
    I introduce and discuss an underappreciated form of motivated cognition: motivational pessimism, which involves the biasing of beliefs for the sake of self-motivation. I illustrate how motivational pessimism avoids explanatory issues that plague other (putative) forms of motivated cognition and discuss distinctions within the category, related to awareness, aetiology, and proximal goals.
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  20. Attitude, Inference, Association: On the Propositional Structure of Implicit Bias.Eric Mandelbaum - 2015 - Noûs 50 (3):629-658.
    The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated (...)
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  21. Status Quo Bias, Rationality, and Conservatism about Value.Jacob M. Nebel - 2015 - Ethics 125 (2):449-476.
    Many economists and philosophers assume that status quo bias is necessarily irrational. I argue that, in some cases, status quo bias is fully rational. I discuss the rationality of status quo bias on both subjective and objective theories of the rationality of preferences. I argue that subjective theories cannot plausibly condemn this bias as irrational. I then discuss one kind of objective theory, which holds that a conservative bias toward existing things of value is rational. (...)
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  22. The Myside Bias in Argument Evaluation: A Bayesian Model.Edoardo Baccini & Stephan Hartmann - 2022 - Proceedings of the Annual Meeting of the Cognitive Science Society 44:1512-1518.
    The "myside bias'' in evaluating arguments is an empirically well-confirmed phenomenon that consists of overweighting arguments that endorse one's beliefs or attack alternative beliefs while underweighting arguments that attack one's beliefs or defend alternative beliefs. This paper makes two contributions: First, it proposes a probabilistic model that adequately captures three salient features of myside bias in argument evaluation. Second, it provides a Bayesian justification of this model, thus showing that myside bias has a rational Bayesian explanation under (...)
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  23. Responsibility for implicit bias.Jules Holroyd - 2017 - Philosophy Compass 12 (3).
    Research programs in empirical psychology from the past two decades have revealed implicit biases. Although implicit processes are pervasive, unavoidable, and often useful aspects of our cognitions, they may also lead us into error. The most problematic forms of implicit cognition are those which target social groups, encoding stereotypes or reflecting prejudicial evaluative hierarchies. Despite intentions to the contrary, implicit biases can influence our behaviours and judgements, contributing to patterns of discriminatory behaviour. These patterns of discrimination are obviously wrong and (...)
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  24. The Wisdom of the Small Crowd: Myside Bias and Group Discussion.Edoardo Baccini, Stephan Hartmann, Rineke Verbrugge & Zoé Christoff - forthcoming - Journal of Artificial Societies and Social Simulation.
    The my-side bias is a well-documented cognitive bias in the evaluation of arguments, in which reasoners in a discussion tend to overvalue arguments that confirm their prior beliefs, while undervaluing arguments that attack their prior beliefs. The first part of this paper develops and justifies a Bayesian model of myside bias at the level of individual reasoning. In the second part, this Bayesian model is implemented in an agent-based model of group discussion among myside-biased agents. The (...)
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  25. Cognitive biases and the predictable perils of the patient‐centric free‐market model of medicine.Michael J. Shaffer - 2022 - Metaphilosophy 53 (4):446-456.
    This paper addresses the recent rise of the use of alternative medicine in Western countries. It offers a novel explanation of that phenomenon in terms of cognitive and economic factors related to the free-market and patient-centric approach to medicine that is currently in place in those countries, in contrast to some alternative explanations of this phenomenon. Moreover, the paper addresses this troubling trend in terms of the serious harms associated with the use of alternative medical modalities. The explanatory theory (...)
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  26. Arguments from Expert Opinion and Persistent Bias.Moti Mizrahi - 2018 - Argumentation 32 (2):175-195.
    Accounts of arguments from expert opinion take it for granted that expert judgments count as (defeasible) evidence for propositions, and so an argument that proceeds from premises about what an expert judges to a conclusion that the expert is probably right is a strong argument. In Mizrahi (2013), I consider a potential justification for this assumption, namely, that expert judgments are significantly more likely to be true than novice judgments, and find it wanting because of empirical evidence suggesting that expert (...)
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  27. Grounding grammatical categories: attention bias in hand space influences grammatical congruency judgment of Chinese nominal classifiers.Marit Lobben & Stefania D’Ascenzo - 2015 - Frontiers in Psychology 6.
    Embodied cognitive theories predict that linguistic conceptual representations are grounded and continually represented in real world, sensorimotor experiences. However, there is an on-going debate on whether this also holds for abstract concepts. Grammar is the archetype of abstract knowledge, and therefore constitutes a test case against embodied theories of language representation. Former studies have largely focussed on lexical-level embodied representations. In the present study we take the grounding-by-modality idea a step further by using reaction time (RT) data from the (...)
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  28. Cognitive Penetrability: Modularity, Epistemology, and Ethics.Zoe Jenkin & Susanna Siegel - 2015 - Review of Philosophy and Psychology 6 (4):531-545.
    Introduction to Special Issue of Review of Philosophy and Psychology. Overview of the central issues in cognitive architecture, epistemology, and ethics surrounding cognitive penetrability. Special issue includes papers by philosophers and psychologists: Gary Lupyan, Fiona Macpherson, Reginald Adams, Anya Farennikova, Jona Vance, Francisco Marchi, Robert Cowan.
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  29. Symmetry in Cognition, and its reflection in Society.Miro Brada - 2016 - In Vandoulakis Ioannis, Dénes Nagy & Lynn Maurice Ferguson Arnold (eds.), Symmetry: Art and Science. Adelaide: The International Society for the Interdisciplinary Study of Symmetry. pp. 34-37.
    Cognitive tests show that identity and symmetry reflect intellect. 'Guess of other guess' creates various symmetries, while only one is right: 'absolute symmetry', which can be outvoted by the majority. Prejudices result from differences between ME (my identity) and others. Unbiased judgement is symmetrical, always in the middle: neither in favor, nor against ME. Intelligence reduces prejudices, but the lack of opportunities can counterbalance it. That's why type of bias differs in various groups: people from war zones, people (...)
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  30. What Is the Function of Confirmation Bias?Uwe Peters - 2022 - Erkenntnis 87 (3):1351-1376.
    Confirmation bias is one of the most widely discussed epistemically problematic cognitions, challenging reliable belief formation and the correction of inaccurate views. Given its problematic nature, it remains unclear why the bias evolved and is still with us today. To offer an explanation, several philosophers and scientists have argued that the bias is in fact adaptive. I critically discuss three recent proposals of this kind before developing a novel alternative, what I call the ‘reality-matching account’. According to (...)
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  31. Assessing the implicit bias research program: Comments on Brownstein, Gawronski, and Madva versus Machery.Shannon Spaulding - 2022 - WIREs Cognitive Science.
    Michael Brownstein, Alex Madva, and Bertram Gawronski articulate a careful defense of research on implicit bias. They argue that though there is room for improvement in various areas, when we set the bar appropriately and when we are comparing relevant events, the test–retest stability and predictive ability of implicit bias measures are respectable. Edouard Machery disagrees. He argues that theories of implicit bias have failed to answer four fundamental questions about measures of implicit bias, and this (...)
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  32. Extended Implicit Bias: When the Metaphysics and Ethics of Implicit Bias Collide.Uwe Peters - 2022 - Erkenntnis 88 (8):3457-3478.
    It has recently been argued that to tackle social injustice, implicit biases and unjust social structures should be targeted equally because they sustain and ontologically overlap with each other. Here I develop this thought further by relating it to the hypothesis of extended cognition. I argue that if we accept common conditions for extended cognition then people’s implicit biases are often partly realized by and so extended into unjust social structures. This supports the view that we should counteract psychological and (...)
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  33. Outcome Effects, Moral Luck and the Hindsight Bias.Markus Kneer & Iza Skoczeń - 2023 - Cognition 232.
    In a series of ten preregistered experiments (N=2043), we investigate the effect of outcome valence on judgments of probability, negligence, and culpability – a phenomenon sometimes labelled moral (and legal) luck. We found that harmful outcomes, when contrasted with neutral outcomes, lead to increased perceived probability of harm ex post, and consequently to increased attribution of negligence and culpability. Rather than simply postulating a hindsight bias (as is common), we employ a variety of empirical means to demonstrate that the (...)
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  34. An argument for egalitarian confirmation bias and against political diversity in academia.Uwe Peters - 2020 - Synthese 198 (12):11999-12019.
    It has recently been suggested that politically motivated cognition leads progressive individuals to form beliefs that underestimate real differences between social groups and to process information selectively to support these beliefs and an egalitarian outlook. I contend that this tendency, which I shall call ‘egalitarian confirmation bias’, is often ‘Mandevillian’ in nature. That is, while it is epistemically problematic in one’s own cognition, it often has effects that significantly improve other people’s truth tracking, especially that of stigmatized individuals in (...)
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  35. Stereotypes, Conceptual Centrality and Gender Bias: An Empirical Investigation.Guillermo Del Pinal, Alex Madva & Kevin Https://Orcidorg Reuter - 2017 - Ratio 30 (4):384-410.
    Discussions in social psychology overlook an important way in which biases can be encoded in conceptual representations. Most accounts of implicit bias focus on ‘mere associations’ between features and representations of social groups. While some have argued that some implicit biases must have a richer conceptual structure, they have said little about what this richer structure might be. To address this lacuna, we build on research in philosophy and cognitive science demonstrating that concepts represent dependency relations between features. (...)
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  36. Enhancement and the Conservative Bias.Ben Davies - 2017 - Philosophy and Technology 30 (3):339-356.
    Nicholas Agar argues that we should avoid certain ‘radical’ enhancement technologies. One reason for this is that they will alienate us from current sources of value by altering our evaluative outlooks. We should avoid this, even if enhancing will provide us with novel, objectively better sources of value. After noting the parallel between Agar’s views and G. A. Cohen’s work on the ‘conservative bias’, I explore Agar’s suggestion in relation to two kinds of radical enhancement: cognitive and anti-ageing. (...)
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  37. On the Cognitive Bases of Knowledge Ascriptions.Mikkel Gerken - 2012 - In Jessica Brown & Mikkel Gerken (eds.), Knowledge Ascriptions. Oxford University Press.
    I develop an epistemic focal bias account of certain patterns of judgments about knowledge ascriptions by integrating it with a general dual process framework of human cognition. According to the focal bias account, judgments about knowledge ascriptions are generally reliable but systematically fallible because the cognitive processes that generate them are affected by what is in focus. I begin by considering some puzzling patters of judgments about knowledge ascriptions and sketch how a basic focal bias account (...)
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  38. Epistemology of Disagreement, Bias, and Political Deliberation: The Problems for a Conciliatory Democracy.Jay Carlson - 2018 - Topoi 40 (5):1161-1171.
    In this paper, I will discuss the relevance of epistemology of disagreement to political disagreement. The two major positions in the epistemology of disagreement literature are the steadfast and the conciliationist approaches: while the conciliationist says that disagreement with one’s epistemic equals should compel one to epistemically “split the difference” with those peers, the steadfast approach claims that one can maintain one’s antecedent position even in the face of such peer disagreement. Martin Ebeling applies a conciliationist approach to democratic deliberations, (...)
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  39. Cognition and Literary Ethical Criticism.Gilbert Plumer - 2011 - In Frank Zenker (ed.), Argumentation: Cognition & Community. Proceedings of the 9th International Conference of the Ontario Society for the Study of Argumentation [CD-ROM]. Ontario Society for the Study of Argumentation. pp. 1-9.
    “Ethical criticism” is an approach to literary studies that holds that reading certain carefully selected novels can make us ethically better people, e.g., by stimulating our sympathetic imagination (Nussbaum). I try to show that this nonargumentative approach cheapens the persuasive force of novels and that its inherent bias and censorship undercuts what is perhaps the principal value and defense of the novel—that reading novels can be critical to one’s learning how to think.
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  40. The inherent bias in positing an inherence heuristic.Muhammad Ali Khalidi & Joshua Mugg - 2014 - Behavioral and Brain Sciences 37 (5):493-494.
    There are two problems with Cimpian & Salomon’s (C&S’s) claim that an innate inherence heuristic is part of our cognitive makeup. First, some of their examples of inherent features do not seem to accord with the authors’ own definition of inherence. Second, rather than posit an inherence heuristic to explain why humans rely more heavily on inherent features, it may be more parsimonious to do so on the basis of aspects of the world itself and our relationship to it.
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  41. Naturalizing Logic: a case study of the ad hominem and implicit bias.Madeleine Ransom - 2019 - In Dov Gabbay, Lorenzo Magnani, Woosuk Park & Ahti-Veikko Pietarinen (eds.), Natural Arguments: A Tribute to John Woods. London: College Publications. pp. 575-589.
    The fallacies, as traditionally conceived, are wrong ways of reasoning that nevertheless appear attractive to us. Recently, however, Woods (2013) has argued that they don’t merit such a title, and that what we take to be fallacies are instead largely virtuous forms of reasoning. This reformation of the fallacies forms part of Woods’ larger project to naturalize logic. In this paper I will look to his analysis of the argumentum ad hominem as a case study for the prospects of this (...)
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  42. The precision of experienced action video-game players: Line bisection reveals reduced leftward response bias.Andrew J. Latham, Lucy L. M. Patston & Lynette J. Tippett - 2014 - Attention, Perception, and Psychophysics 76 (8):2193-2198.
    Twenty-two experienced action video-game players (AVGPs) and 18 non-VGPs were tested on a pen-and-paper line bisection task that was untimed. Typically, right-handers bisect lines 2 % to the left of true centre, a bias thought to reflect the dominance of the right-hemisphere for visuospatial attention. Expertise may affect this bias, with expert musicians showing no bias in line bisection performance. Our results show that experienced-AVGPs also bisect lines with no bias with their right hand and a (...)
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  43. Skeptical Appeal: The Source‐Content Bias.John Turri - 2014 - Cognitive Science 38 (5):307-324.
    Radical skepticism is the view that we know nothing or at least next to nothing. Nearly no one actually believes that skepticism is true. Yet it has remained a serious topic of discussion for millennia and it looms large in popular culture. What explains its persistent and widespread appeal? How does the skeptic get us to doubt what we ordinarily take ourselves to know? I present evidence from two experiments that classic skeptical arguments gain potency from an interaction between two (...)
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  44. Collective Implicit Attitudes: A Stakeholder Conception of Implicit Bias.Carole J. Lee - 2018 - Proceedings of the 40th Annual Cognitive Science Society.
    Psychologists and philosophers have not yet resolved what they take implicit attitudes to be; and, some, concerned about limitations in the psychometric evidence, have even challenged the predictive and theoretical value of positing implicit attitudes in explanations for social behavior. In the midst of this debate, prominent stakeholders in science have called for scientific communities to recognize and countenance implicit bias in STEM fields. In this paper, I stake out a stakeholder conception of implicit bias that responds to (...)
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  45. Shaking Up the Mind’s Ground Floor: The Cognitive Penetration of Visual Attention.Wayne Wu - 2017 - Journal of Philosophy 114 (1):5-32.
    In this paper, I argue that visual attention is cognitively penetrated by intention. I present a detailed account of attention and its neural basis, drawing on a recent computational model of neural modulation during attention: divisive normalization. I argue that intention shifts computations during divisive normalization. The epistemic consequences of attentional bias are discussed.
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  46. On some unwarranted tacit assumptions in cognitive neuroscience.Rainer Mausfeld - 2012 - Frontiers in Cognition 3 (67):1-13.
    The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that (...)
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  47. Social Prediction and the "Allegiance Bias".Keith Markman & Edward Hirt - 2002 - Social Cognition 20 (1):58-86.
    Two studies examined the allegiance bias – the rendering of biased predictions by individuals who are psychologically invested in a desired outcome. In Study 1, fans of either Notre Dame or University of Miami college football read information about an upcoming game between the two teams and then explained a hypothetical victory either by Notre Dame or Miami. Although explaining a hypothetical victory biased the judgments of controls (i.e., fans of neither team) in the direction of the team explained, (...)
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  48. CG-Art: demystifying the anthropocentric bias of artistic creativity.Leonardo Arriagada - 2020 - Connection Science 32 (4):398-405.
    The following aesthetic discussion examines in a philosophical-scientific way the relationship between computation and artistic creativity. Currently, there is a criticism about the possible artistic creativity that an algorithm could have. Supporting the above, the term computer-generated art (CG-Art) defined by Margaret Boden would seem to have no exponents yet. Moreover, it has been pointed out that, rather than a matter of primitive technological development, CG-Art would have in its very foundations the inability to exist. This, because art is considered (...)
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  49. The Continuous Model of Culture: Modernity Decline—a Eurocentric Bias? An Attempt to Introduce an Absolute value into a Model of Culture.Giorgi Kankava - 2013 - Human Studies 36 (3):411-433.
    This paper means to demonstrate the theoretical-and- methodological potential of a particular pattern of thought about culture. Employing an end-means and absolute value plus concept of reality approach, the continuous model of culture aims to embrace from one holistic standpoint various concepts and debates of the modern human, social, and political sciences. The paper revisits the debates of fact versus value, nature versus culture, culture versus structure, agency versus structure, and economics versus politics and offers the concepts of the rule (...)
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  50. Moral psychology as a necessary bridge between social cognition and law.James Dunlea & Larisa Heiphetz - 2021 - Social Cognition 39:183–199.
    Coordinating competing interests can be difficult. Because law regulates human behavior, it is a candidate mechanism for creating coordination in the face of societal disagreement. We argue that findings from moral psy- chology are necessary to understand why law can effectively resolve co- occurring conflicts related to punishment and group membership. First, we discuss heterogeneity in punitive thought, focusing on punishment within the United States legal system. Though the law exerts a weak influence on punitive ideologies before punishment occurs, we (...)
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