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Reasoning, decision making and rationality

Cognition 49 (1-2):165-187 (1993)

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  1. Relevance theory explains the selection task.D. Sperber - 1995 - Cognition 57 (1):31-95.
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  • The Ethics of Argumentation.Vasco Correia - 2012 - Informal Logic 32 (2):222-241.
    Normative theories of argumentation tend to assume that logical and dialectical rules suffice to ensure the rationality of argumentative discourse. Yet, in everyday debates people use arguments that seem valid in light of such rules but nonetheless biased and tendentious. This article seeks to show that the rationality of argumentation can only be fully promoted if we take into account its ethical dimension. To substantiate this claim, I review some of the empirical evidence indicating that people’s inferential reasoning is systematically (...)
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  • The locus of facilitation in the abstract selection task.David W. Green & Rodney Larking - 1995 - Thinking and Reasoning 1 (2):183 – 199.
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  • Theories of reasoning and the computational explanation of everyday inference.Mike Oaksford & Nick Chater - 1995 - Thinking and Reasoning 1 (2):121 – 152.
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  • Motivational Reasons for Biased Decisions: The Sunk-Cost Effect’s Instrumental Rationality.Markus Domeier, Pierre Sachse & Bernd Schäfer - 2018 - Frontiers in Psychology 9:320037.
    The present study describes the mechanism of need regulation, which accompanies the so-called “biased” decisions. We hypothesized an unconscious urge for psychological need satisfaction as the trigger for cognitive biases. In an experimental study (N = 106), participants had the opportunity to win money in a functionality test. In the test, they could either use the solution they had developed (sunk cost) or an alternative solution that offered a higher probability of winning. The selection of the sunk-cost option was the (...)
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  • Goal-driven hypothesis testing in a rule discovery task.Frédéric Vallée-Tourangeau & Teresa Payton - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 2122--2127.
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  • Should reason be fragmented?Nenad Miščević - 1996 - International Studies in the Philosophy of Science 10 (1):23-36.
    Cognitive relativists‐pragmatists (Stich, Churchland) claim that human cognitive strategies, lacking a common goal, are in addition divergent to the point of incommensurability. They appeal to the study of reasoning heuristics for evidence on cognitive diversity and incorrigibility. It is here argued that no such evidence is offered by the research, which, on the contrary (1) presents heuristics as uniform across great variations; (2) offers advice for correcting and improving human reasoning; and (3) very often postulates a uniformity of core logical (...)
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  • Perspectives, preferences, and probabilities.D. E. Over & K. I. Manktelow - 1995 - Thinking and Reasoning 1 (4):364 – 371.
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  • How the Neuroscience of Decision Making Informs Our Conception of Autonomy.Gidon Felsen & Peter B. Reiner - 2011 - American Journal of Bioethics Neuroscience 2 (3):3-14.
    Autonomy, the ability to make decisions for ourselves about ourselves, is among the most prized of human liberties. In this review we reconsider the key conditions necessary for autonomous decision making, long debated by moral philosophers and ethicists, in light of current neuroscientific evidence. The most widely accepted criteria for autonomy are that decisions are made by a rationally deliberative and reflective agent and that these decisions are free of undue external influences. The corpus of neuroscientific data suggest that human (...)
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  • Individual Differences in Framing and Conjunction Effects.Keith E. Stanovich & Richard F. West - 1998 - Thinking and Reasoning 4 (4):289-317.
    Individual differences on a variety of framing and conjunction problems were examined in light of Slovic and Tversky's (1974) understanding/acceptance principle-that more reflective and skilled reasoners are more likely to affirm the axioms that define normative reasoning and to endorse the task construals of informed experts. The predictions derived from the principle were confirmed for the much discussed framing effect in the Disease Problem and for the conjunction fallacy on the Linda Problem. Subjects of higher cognitive ability were disproportionately likely (...)
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  • The role of intuition and reasoning in driving aversion to risk and ambiguity.Jeffrey V. Butler, Luigi Guiso & Tullio Jappelli - 2014 - Theory and Decision 77 (4):455-484.
    Using a large sample of retail investors as well as experimental data we find that risk and ambiguity aversion are positively correlated. We provide evidence that a common link is decision mode: intuitive thinkers tolerate more risk and ambiguity than effortful reasoners. One interpretation is that intuitive thinking confers an advantage in risky or ambiguous situations. We present supporting lab and field evidence that intuitive thinkers outperform others in uncertain environments. Finally, we find that risk and ambiguity aversion vary with (...)
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  • Implicit learning, consciousness, and the psychology of thinking.B. T. Evans - 1995 - Thinking and Reasoning 1 (1):105 – 118.
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  • Probabilistic effects in data selection.Mike Oaksford, Nick Chater & Becki Grainger - 1999 - Thinking and Reasoning 5 (3):193 – 243.
    Four experiments investigated the effects of probability manipulations on the indicative four card selection task (Wason, 1966, 1968). All looked at the effects of high and low probability antecedents (p) and consequents (q) on participants' data selections when determining the truth or falsity of a conditional rule, if p then q . Experiments 1 and 2 also manipulated believability. In Experiment 1, 128 participants performed the task using rules with varied contents pretested for probability of occurrence. Probabilistic effects were observed (...)
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  • Advancing the rationality debate.Keith E. Stanovich & Richard F. West - 2000 - Behavioral and Brain Sciences 23 (5):701-717.
    In this response, we clarify several misunderstandings of the understanding/acceptance principle and defend our specific operationalization of that principle. We reiterate the importance of addressing the problem of rational task construal and we elaborate the notion of computational limitations contained in our target article. Our concept of thinking dispositions as variable intentional-level styles of epistemic and behavioral regulation is explained, as is its relation to the rationality debate. Many of the suggestions of the commentators for elaborating two-process models are easily (...)
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  • Belief bias and the extinction of induced fear.Maartje S. Vroling & Peter J. de Jong - 2013 - Cognition and Emotion 27 (8):1405-1420.
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  • Probabilistic factors in deontic reasoning.K. I. Manktelow, E. J. Sutherland & D. E. Over - 1995 - Thinking and Reasoning 1 (3):201 – 219.
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  • Perspective shifts on the selection task: Reasoning or relevance?B. T. Evans & John Clibbens - 1995 - Thinking and Reasoning 1 (4):315 – 371.
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  • Markers of social group membership as probabilistic cues in reasoning tasks.Gary L. Brase - 2001 - Thinking and Reasoning 7 (4):313 – 346.
    Reasoning about social groups and their associated markers was investigated as a particular case of human reasoning about cue-category relationships. Assertions that reasoning involving cues and associated categories elicits specific probabilistic assumptions are supported by the results of three experiments. This phenomenon remains intact across the use of categorical syllogisms, conditional syllogisms, and the use of social groups that vary in their perceived cohesiveness, or entitativity. Implications are discussed for various theories of reasoning, and additional aspects of social group/coalitional reasoning (...)
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  • Ecological and evolutionary validity: Comments on Johnson-Laird, Legrenzi, Girotto, Legrenzi, and Caverni's (1999) mental-model theory of extensional reasoning.Gary L. Brase - 2002 - Psychological Review 109 (4):722-728.
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  • Ecological issues: A reply to Todd, Fiddick, & Krauss.David E. Over - 2000 - Thinking and Reasoning 6 (4):385 – 388.
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  • Hits and misses: Kirby on the selection task.D. E. Over & J. StB. T. Evans - 1994 - Cognition 52 (3):235-243.
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  • Probability and choice in the selection task.David W. Green, David E. Over & Robin A. Pyne - 1997 - Thinking and Reasoning 3 (3):209-235.
    Two experiments using a realistic version of the selection task examined the relationship between participants' probability estimates of finding a counter example and their selections. Experiment 1 used everyday categories in the context of a scenario to determine whether or not the number of instances in a category affected the estimated probability of a counter-example. Experiment 2 modified the scenario in order to alter participants' estimates of finding a specific counter-example. Unlike Kirby 1994a, but consistent with his proposals, both studies (...)
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