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  1. The Enigma of Reason.Dan Sperber & Hugo Mercier (eds.) - 2017 - Cambridge, MA, USA: Harvard University Press.
    Reason, we are told, is what makes us human, the source of our knowledge and wisdom. If reason is so useful, why didn't it also evolve in other animals? If reason is that reliable, why do we produce so much thoroughly reasoned nonsense? In their groundbreaking account of the evolution and workings of reason, Hugo Mercier and Dan Sperber set out to solve this double enigma. Reason, they argue with a compelling mix of real-life and experimental evidence, is not geared (...)
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  • Lessons and new directions for extended cognition from social and personality psychology.Joshua August Skorburg - 2017 - Philosophical Psychology 30 (4):458-480.
    This paper aims to expand the range of empirical work relevant to the extended cognition debates. First, I trace the historical development of the person-situation debate in social and personality psychology and the extended cognition debate in the philosophy of mind. Next, I highlight some instructive similarities between the two and consider possible objections to my comparison. I then argue that the resolution of the person-situation debate in terms of interactionism lends support for an analogously interactionist conception of extended cognition. (...)
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  • Objectivity in the Eye of the Beholder: Divergent Perceptions of Bias in Self Versus Others.Emily Pronin, Thomas Gilovich & Lee Ross - 2004 - Psychological Review 111 (3):781-799.
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  • (1 other version)Telling more than we can know: Verbal reports on mental processes.Richard E. Nisbett & Timothy D. Wilson - 1977 - Psychological Review; Psychological Review 84 (3):231.
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  • (1 other version)Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Critical Thinking Education and Debiasing.Tim Kenyon & Guillaume Beaulac - 2014 - Informal Logic 34 (4):341-363.
    There are empirical grounds to doubt the effectiveness of a common and intuitive approach to teaching debiasing strategies in critical thinking courses. We summarize some of the grounds before suggesting a broader taxonomy of debiasing strategies. This four-level taxonomy enables a useful diagnosis of biasing factors and situations, and illuminates more strategies for more effective bias mitigation located in the shaping of situational factors and reasoning infrastructure—sometimes called “nudges” in the literature. The question, we contend, then becomes how best to (...)
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  • Science as Social Knowledge: Values and Objectivity in Scientific Inquiry.Helen E. Longino - 1990 - Princeton University Press.
    This is an important book precisely because there is none other quite like it.
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  • Why do humans reason? Arguments for an argumentative theory.Dan Sperber - 2011 - Behavioral and Brain Sciences 34 (2):57.
    Short abstract (98 words). Reasoning is generally seen as a means to improve knowledge and make better decisions. However, much evidence shows that reasoning often leads to epistemic distortions and poor decisions. This suggests that the function of reasoning should be rethought. Our hypothesis is that the function of reasoning is argumentative. It is to devise and evaluate arguments intended to persuade. Reasoning so conceived is adaptive given humans’ exceptional dependence on communication and vulnerability to misinformation. A wide range of (...)
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  • Theory-testing in psychology and physics: A methodological paradox.Paul E. Meehl - 1967 - Philosophy of Science 34 (2):103-115.
    Because physical theories typically predict numerical values, an improvement in experimental precision reduces the tolerance range and hence increases corroborability. In most psychological research, improved power of a statistical design leads to a prior probability approaching 1/2 of finding a significant difference in the theoretically predicted direction. Hence the corroboration yielded by "success" is very weak, and becomes weaker with increased precision. "Statistical significance" plays a logical role in psychology precisely the reverse of its role in physics. This problem is (...)
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  • (1 other version)Telling more than we can know: Verbal reports on mental processes.Richard E. Nisbett & Timothy D. Wilson - 1977 - Psychological Review 84 (3):231-59.
    Reviews evidence which suggests that there may be little or no direct introspective access to higher order cognitive processes. Ss are sometimes unaware of the existence of a stimulus that importantly influenced a response, unaware of the existence of the response, and unaware that the stimulus has affected the response. It is proposed that when people attempt to report on their cognitive processes, that is, on the processes mediating the effects of a stimulus on a response, they do not do (...)
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  • The Psychology of Good Judgment Frequency Formats and Simple Algorithms.Gerd Gigerenzer - 1996 - Medical Decision Making 16 (3):273-280.
    Mind and environment evolve in tandem—almost a platitude. Much of judgment and decision making research, however, has compared cognition to standard statistical models, rather than to how well it is adapted to its environment. The author argues two points. First, cognitive algorithms are tuned to certain information formats, most likely to those that humans have encountered during their evolutionary history. In par ticular, Bayesian computations are simpler when the information is in a frequency format than when it is in a (...)
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  • When cognition turns vicious: Heuristics and biases in light of virtue epistemology.Peter L. Samuelson & Ian M. Church - 2015 - Philosophical Psychology 28 (8):1095-1113.
    In this paper, we explore the literature on cognitive heuristics and biases in light of virtue epistemology, specifically highlighting the two major positions—agent-reliabilism and agent-responsibilism —as they apply to dual systems theories of cognition and the role of motivation in biases. We investigate under which conditions heuristics and biases might be characterized as vicious and conclude that a certain kind of intellectual arrogance can be attributed to an inappropriate reliance on Type 1, or the improper function of Type 2, cognitive (...)
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  • (1 other version)The Law of Group Polarization.Cass Sunstein - 2003 - In James S. Fishkin & Peter Laslett (eds.), Debating Deliberative Democracy. Wiley-Blackwell. pp. 80–101.
    How and Why Groups Polarize Polarization and Democracy Deliberative Trouble Notes.
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  • How to improve Bayesian reasoning without instruction: Frequency formats.Gerd Gigerenzer & Ulrich Hoffrage - 1995 - Psychological Review 102 (4):684-704.
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  • Paternalism and cognitive bias.J. D. Trout - 2004 - Law and Philosophy 24 (4):393-434.
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  • (2 other versions)The Open Society and its Enemies.Karl R. Popper - 1952 - Revue Philosophique de la France Et de l'Etranger 142:629-634.
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  • Group decision and social interaction: A theory of social decision schemes.James H. Davis - 1973 - Psychological Review 80 (2):97-125.
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  • Natural epistemic defects and corrective virtues.Robert C. Roberts & Ryan West - 2015 - Synthese 192 (8):2557-2576.
    Cognitive psychologists have uncovered a number of natural tendencies to systematic errors in thinking. This paper proposes some ways that intellectual character virtues might help correct these sources of epistemic unreliability. We begin with an overview of some insights from recent work in dual-process cognitive psychology regarding ‘biases and heuristics’, and argue that the dozens of hazards the psychologists catalogue arise from combinations and specifications of a small handful of more basic patterns of thinking. We expound four of these, and (...)
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  • 11. Why Is Reasoning Biased?Dan Sperber & Hugo Mercier - 2017 - In Dan Sperber & Hugo Mercier (eds.), The Enigma of Reason. Cambridge, MA, USA: Harvard University Press. pp. 205-221.
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  • Reasoning, argumentation, and cognition.Keith Frankish - 2011 - Behavioral and Brain Sciences 34 (2):79-80.
    This commentary does three things. First, it offers further support for the view that explicit reasoning evolved for public argumentation. Second, it suggests that promoting effective communication may not be the only, or even the main, function of public argumentation. Third, it argues that the data Mercier and Sperber (M&S) cite are compatible with the view that reasoning has subsequently been co-opted to play a role in individual cognition.
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  • Reasoning is for thinking, not just for arguing.Jonathan St Bt Evans - 2011 - Behavioral and Brain Sciences 34 (2):77-78.
    There is indeed extensive evidence that people perform fairly poorly in reasoning tasks and that they often construct arguments for intuitively cued responses. Mercier & Sperber (M&S) may also be right to claim that reasoning evolved primarily as argumentation. However, if it did, the facility became exapted to the function of supporting uniquely human abilities for reflective thinking and consequential decision making.
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  • Collaborative reasoning: Evidence for collective rationality.David Moshman Molly Geil - 1998 - Thinking and Reasoning 4 (3):231 – 248.
    Reasoning may be defined as a deliberate effort to coordinate inferences so as to reach justifiable conclusions. Thus defined, reasoning includes collaborative as well as individual forms of cognitive action. The purpose of the present study was to demonstrate a circumstance in which collaborative reasoning is qualitatively superior to individual reasoning. The selection task, a well known logical hypothesis-testing problem, was presented to 143 college undergraduates-32 individuals and 20 groups of 5 or 6 interacting peers. The correct (falsification) response pattern (...)
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