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  1. The rational analysis of mind and behavior.Nick Chater & Mike Oaksford - 2000 - Synthese 122 (1-2):93-131.
    Rational analysis (Anderson 1990, 1991a) is an empiricalprogram of attempting to explain why the cognitive system isadaptive, with respect to its goals and the structure of itsenvironment. We argue that rational analysis has two importantimplications for philosophical debate concerning rationality. First,rational analysis provides a model for the relationship betweenformal principles of rationality (such as probability or decisiontheory) and everyday rationality, in the sense of successfulthought and action in daily life. Second, applying the program ofrational analysis to research on human reasoning (...)
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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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  • 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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  • Reaching a decision: A reply to Oaksford.David W. Green & David E. Over - 1998 - Thinking and Reasoning 4 (2):187-192.
    In his commentary, Oaksford makes two main claims: (1) that the externalisation method used by Green, Over, and Pyne (1997) enforces the correlation observed between probability estimates and selection, and (2) that these estimates support the prediction of a downward revision of P(p) when P(p) > P(q). In this reply, we rebut claim 1 by describing the instructions more comprehensively, and claim 2 by reiterating the importance of making certain theoretical distinctions which Oaksford does not make. Our interest is the (...)
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  • A little logic goes a long way: basing experiment on semantic theory in the cognitive science of conditional reasoning.Keith Stenning & Michiel van Lambalgen - 2004 - Cognitive Science 28 (4):481-529.
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  • A little logic goes a long way: basing experiment on semantic theory in the cognitive science of conditional reasoning.Keith Stenning & Michiel Lambalgen - 2004 - Cognitive Science 28 (4):481-529.
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  • Relevance theory explains the selection task.D. Sperber - 1995 - Cognition 57 (1):31-95.
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  • Popper's severity of test as an intuitive probabilistic model of hypothesis testing.Fenna H. Poletiek - 2009 - Behavioral and Brain Sciences 32 (1):99-100.
    Severity of Test (SoT) is an alternative to Popper's logical falsification that solves a number of problems of the logical view. It was presented by Popper himself in 1963. SoT is a less sophisticated probabilistic model of hypothesis testing than Oaksford & Chater's (O&C's) information gain model, but it has a number of striking similarities. Moreover, it captures the intuition of everyday hypothesis testing.
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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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  • Deontic Reasoning With Emotional Content: Evolutionary Psychology or Decision Theory?Nick Perham & Mike Oaksford - 2005 - Cognitive Science 29 (5):681-718.
    Three experiments investigated the contrasting predictions of the evolutionary and decision-theoretic approaches to deontic reasoning. Two experiments embedded a hazard management (HM) rule in a social contract scenario that should lead to competition between innate modules. A 3rd experiment used a pure HM task. Threatening material was also introduced into the antecedent, p, of a deontic rule, if p then must q. According to the evolutionary approach, more HM responses (Cosmides & Tooby, 2000) are predicted when p is threatening, whereas (...)
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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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  • 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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  • 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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  • 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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  • Two and three stage models of deontic reasoning.Mike Oaksford & Nick Chater - 1995 - Thinking and Reasoning 1 (4):350 – 357.
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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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  • 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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  • 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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  • Discussion task demands and revising probabilities in the selection task: A comment on green, over, and Pyne.Mike Oaksford - 1998 - Thinking and Reasoning 4 (2):179 – 186.
    Green, Over, and Pyne's (1997) paper (hereafter referred to as ''GOP") seems to provide a novel approach to examining probabilistic effects in Wason's selection task. However, in this comment, it is argued that their chosen experimental paradigm confounds most of their results. The task demands of the externalisation procedure (Green, 1995) enforce a correlation between card selections and the probability of finding a counterexample, which was the main finding of GOP's experiments. Consequently GOP cannot argue that their data support Kirby's (...)
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  • A rational analysis of the selection task as optimal data selection.Mike Oaksford & Nick Chater - 1994 - Psychological Review 101 (4):608-631.
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  • Set size, assertion form, thematic content and sampling in the selection task.Raymond S. Nickerson, Susan F. Butler & Daniel H. Barch - 2017 - Thinking and Reasoning 23 (2):134-157.
    Participants attempted to solve a modified version of Wason's selection task. Variables were: sizes of the sets referenced by a specified assertion, form of the assertion, thematic content of the assertion, and the need for sampling or not. In Experiment 1, participants were given enough information to determine the truth or falsity of the specified assertion with certainty; in Experiment 2, they had to rely on sampling and could not determine the assertion's truth or falsity with certainty. Performance was better (...)
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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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  • Deontic Reasoning, Modules and Innateness: A Second Look.Nick Chater & Mike Oaksford - 1996 - Mind and Language 11 (2):191-202.
    Cummins (this issue) puts the case for an innate module for deontic reasoning. We argue that this case is not persuasive. First, we claim that Cummins’evolutionary arguments are neutral regarding whether deontic reasoning is learned or innate. Second, we argue that task differences between deontic and indicative reasoning explain many of the phenomena that Cummins takes as evidence for a deontic module. Third, we argue against the suggestion that deontic reasoning is superior to indicative reasoning, either in adults or children. (...)
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  • Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.Jonathan D. Nelson - 2005 - Psychological Review 112 (4):979-999.
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  • The influence of responsibility and guilt on naive hypothesis-testing.Francesco Mancini & Amelia Gangemi - 2004 - Thinking and Reasoning 10 (3):289-320.
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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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  • Think-aloud protocols and the selection task: Evidence for relevance effects and rationalisation processes.Erica Lucas & Linden Ball - 2005 - Thinking and Reasoning 11 (1):35 – 66.
    Two experiments are reported that employed think-aloud methods to test predictions concerning relevance effects and rationalisation processes derivable from Evans' (1996) heuristic-analytic theory of the selection task. Evans' account proposes that card selections are triggered by relevance-determining heuristics, with analytic processing serving merely to rationalise heuristically cued decisions. As such, selected cards should be associated with more references to both their facing and their hidden sides than rejected cards, which are not subjected to analytic rationalisation. Experiment 1 used a standard (...)
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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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  • Hypothesis testing in Wason's selection task: social exchange cheating detection or task understanding.N. Liberman - 1996 - Cognition 58 (1):127-156.
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  • False alarm: a reply to Over and Evans.Kris N. Kirby - 1994 - Cognition 52 (3):245-250.
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  • Conditionals: A theory of meaning, pragmatics, and inference.Philip Johnson-Laird & Ruth M. J. Byrne - 2002 - Psychological Review 109 (4):646-678.
    The authors outline a theory of conditionals of the form If A then C and If A then possibly C. The 2 sorts of conditional have separate core meanings that refer to sets of possibilities. Knowledge, pragmatics, and semantics can modulate these meanings. Modulation can add information about temporal and other relations between antecedent and consequent. It can also prevent the construction of possibilities to yield 10 distinct sets of possibilities to which conditionals can refer. The mental representation of a (...)
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  • Pragmatic reasoning from multiple points of view: A response.Keith J. Holyoak & Patricia W. Cheng - 1995 - Thinking and Reasoning 1 (4):373 – 389.
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  • Pragmatic reasoning with a point of view.Keith J. Holyoak & Patricia W. Cheng - 1995 - Thinking and Reasoning 1 (4):289 – 313.
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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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  • 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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  • Philosophical Thought Experiments, Intuitions, and Cognitive Equilibrium.Tamar Szabó Gendler - 2007 - Midwest Studies in Philosophy 31 (1):68-89.
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  • Philosophical thought experiments, intuitions, and cognitive equilibrium.Tamar Szabó Gendler - 2007 - In Peter A. French & Howard K. Wettstein (eds.), Philosophy and the Empirical. Blackwell. pp. 68-89.
    It is a commonplace that contemplation of an imaginary particular may have cognitive and motivational effects that differ from those evoked by an abstract description of an otherwise similar state of affairs. In his Treatise on Human Nature, Hume ([1739] 1978) writes forcefully of this.
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  • No interpretation without representation: the role of domain-specific representations and inferences in the Wason selection task.Laurence Fiddick, Leda Cosmides & John Tooby - 2000 - Cognition 77 (1):1-79.
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  • Background beliefs and evidence interpretation.Aidan Feeney, Jonathan StB. T. Evans & John Clibbens - 2000 - Thinking and Reasoning 6 (2):97-124.
    In this paper we argue that it is often adaptive to use one's background beliefs when interpreting information that, from a normative point of view, is incomplete. In both of the experiments reported here participants were presented with an item possessing two features and were asked to judge, in the light of some evidence concerning the features, to which of two categories it was more likely that the item belonged. It was found that when participants received evidence relevant to just (...)
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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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  • Matching bias and set sizes: A discussion of yama (2001).Jonathan St B. T. Evans - 2002 - Thinking and Reasoning 8 (2):153 – 163.
    Yama (2001) has presented an ingenious series of experiments in which he attempts to separate two accounts in the literature of the cause of "matching bias" in conditional reasoning. One account is that the bias arises from the way in which people process negations and the other is that it is due to the larger set sizes associated with negative propositions, rather than negation per se . Yama's experiments show influences of both negation and set size, from which he concludes (...)
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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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  • Cognitive ability and variation in selection task performance.Keith E. Stanovich & Richard F. West - 1998 - Thinking and Reasoning 4 (3):193-230.
    Individual differences in performance on a variety of selection tasks were examined in three studies employing over 800 participants. Nondeontic tasks were solved disproportionately by individuals of higher cognitive ability. In contrast, responses on two deontic tasks that have shown robust performance facilitationthe Drinking-age Problem and the Sears Problem-were unrelated to cognitive ability. Performance on deontic and nondeontic tasks was consistently associated. Individuals in the correct/correct cell of the bivariate performance matrix were over-represented. That is, individuals giving the modal response (...)
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  • False alarm-a reply-discussion.Kn Kirby - 1994 - Cognition 52 (3):245-250.
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