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  1. Conditional probability and pragmatic conditionals: Dissociating truth and effectiveness.Eyvind Ohm & Valerie A. Thompson - 2006 - Thinking and Reasoning 12 (3):257 – 280.
    Recent research (e.g., Evans & Over, 2004) has provided support for the hypothesis that people evaluate the probability of conditional statements of the form if p then q as the conditional probability of q given p , P( q / p ). The present paper extends this approach to pragmatic conditionals in the form of inducements (i.e., promises and threats) and advice (i.e., tips and warnings). In so doing, we demonstrate a distinction between the truth status of these conditionals and (...)
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  • Everyday reasoning with inducements and advice.Eyvind Ohm & Valerie A. Thompson - 2004 - Thinking and Reasoning 10 (3):241 – 272.
    In two experiments, we investigated how people interpret and reason with realistic conditionals in the form of inducements (i.e., promises and threats) and advice (i.e., tips and warnings). We found that inducements and advice differed with respect to the degree to which the speaker was perceived to have (a) control over the consequent, (b) a stake in the outcome, and (c) an obligation to ensure that the outcome occurs. Inducements and advice also differed with respect to perceived sufficiency and necessity, (...)
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  • On conditionals.Dorothy Edgington - 1995 - Mind 104 (414):235-329.
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  • Conditional reasoning with realistic material.Stephen E. Newstead - 1997 - Thinking and Reasoning 3 (1):49 – 76.
    Four experiments are reported which investigated the types of truth tables that people associate with conditional sentences and the kinds of inferences that they will draw from them. The present studies differed from most previous ones in using different types of content in the conditionals, for example promises and warnings. It was found that the type of content had a strong and consistent effect on both truth tables and inferences. It is suggested that this is because in real life conditionals (...)
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  • What makes us believe a conditional? The roles of covariation and causality.Klaus Oberauer, Andrea Weidenfeld & Katrin Fischer - 2007 - Thinking and Reasoning 13 (4):340 – 369.
    Two experiments were conducted to investigate the roles of covariation and of causality in people's readiness to believe a conditional. The experiments used a probabilistic truth-table task (Oberauer & Wilhelm, 2003) in which people estimated the probability of a conditional given information about the frequency distribution of truth-table cases. For one group of people, belief in the conditional was determined by the conditional probability of the consequent, given the antecedent, whereas for another group it depended on the probability of the (...)
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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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  • Conditional reasoning with inducements and advice.J. Evans - 1998 - Cognition 69 (1):B11-B16.
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  • Information gain explains relevance which explains the selection task.M. Oaksford - 1995 - Cognition 57 (1):97-108.
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  • Social roles and utilities in reasoning with deontic conditionals.K. I. Manktelow & D. E. Over - 1991 - Cognition 39 (2):85-105.
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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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