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  1. 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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  • Context, goal, utility, and relevance: A reply to Evans (2002) considering Oaksford (2002).Hiroshi Yama - 2002 - Thinking and Reasoning 8 (3):225 – 230.
    Yama (2001) argued that the matching bias effect was an amalgam of a genuine matching effect and a set size effect. However, Evans (2002) pointed out some problems with Yama's argument. One was on the matching index used in Yama (2001). The others concerned a gap between Yama's (2001) interpretation of matching bias and Evans' (1998) recent discussions that had placed emphasis on the problem of implicit negation. I reply to these claims taking Oaksford (2002) into consideration. Further, I propose (...)
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  • The uncertain reasoner: Bayes, logic, and rationality.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):105-120.
    Human cognition requires coping with a complex and uncertain world. This suggests that dealing with uncertainty may be the central challenge for human reasoning. In Bayesian Rationality we argue that probability theory, the calculus of uncertainty, is the right framework in which to understand everyday reasoning. We also argue that probability theory explains behavior, even on experimental tasks that have been designed to probe people's logical reasoning abilities. Most commentators agree on the centrality of uncertainty; some suggest that there is (...)
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  • Bayesian rationality for the Wason selection task? A test of optimal data selection theory.Klaus Oberauer, Oliver Wilhelm & Ricardo Rosas Diaz - 1999 - Thinking and Reasoning 5 (2):115 – 144.
    Oaksford and Chater (1994) proposed to analyse the Wason selection task as an inductive instead of a deductive task. Applying Bayesian statistics, they concluded that the cards that participants tend to select are those with the highest expected information gain. Therefore, their choices seem rational from the perspective of optimal data selection. We tested a central prediction from the theory in three experiments: card selection frequencies should be sensitive to the subjective probability of occurrence for individual cards. In Experiment 1, (...)
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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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  • Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
    According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic – the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining (...)
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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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  • Focusing in Wason's selection task: Content and instruction effects.Roberta E. Love & Claudius M. Kessler - 1995 - Thinking and Reasoning 1 (2):153 – 182.
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  • Matching versus optimal data selection in the Wason selection task.Hiroshi Yama - 2001 - Thinking and Reasoning 7 (3):295 – 311.
    It has been reported as a robust effect that people are likely to select a matching case in the Wason selection task. For example, they usually select the 5 case, in the Wason selection task with the conditional "if an E, then a not-5". This was explained by the matching bias account that people are likely to regard a matching case as relevant to the truth of the conditional (Evans, 1998). However, because a positive concept usually constructs a smaller set (...)
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  • (1 other version)False alarm-a reply-discussion.Kn Kirby - 1994 - Cognition 52 (3):245-250.
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  • Two and three stage models of deontic reasoning.Mike Oaksford & Nick Chater - 1995 - Thinking and Reasoning 1 (4):350 – 357.
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  • (1 other version)False alarm: a reply to Over and Evans.Kris N. Kirby - 1994 - Cognition 52 (3):245-250.
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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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  • How and why we reason from is to ought.Jonathan St B. T. Evans & Shira Elqayam - 2020 - Synthese 197 (4):1429-1446.
    Originally identified by Hume, the validity of is–ought inference is much debated in the meta-ethics literature. Our work shows that inference from is to ought typically proceeds from contextualised, value-laden causal utility conditional, bridging into a deontic conclusion. Such conditional statements tell us what actions are needed to achieve or avoid consequences that are good or bad. Psychological research has established that people generally reason fluently and easily with utility conditionals. Our own research also has shown that people’s reasoning from (...)
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  • Hempel's paradox and Wason's selection task: Logical and psychological puzzles of confirmation.Raymond S. Nickerson - 1996 - Thinking and Reasoning 2 (1):1 – 31.
    Hempel's paradox of the ravens has to do with the question of what constitutes confirmation from a logical point of view; Wason 's selection task has been used extensively to investigate how people go about attempting to confirm or disconfirm conditional claims. This paper presents an argument that the paradox is resolved, and that people's typical performance in the selection task can be explained, by consideration of what constitutes an effective strategy for seeking evidence of the tenability of universal or (...)
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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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  • 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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  • Facilitation and matching bias in the abstract selection task.Richard D. Platt & Richard A. Griggs - 1995 - Thinking and Reasoning 1 (1):55 – 70.
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