Literature DB >> 12872874

Inference suppression and semantic memory retrieval: every counterexample counts.

Wim De Neys1, Walter Schaeken, Géry d'Ydewalle.   

Abstract

Reasoning with conditionals involving causal content is known to be affected by retrieval of counterexamples from semantic memory. In this study we examined the characteristics of this search process in everyday conditional reasoning. In Experiment 1 we manipulated the number (zero to four) of explicitly presented counterexamples (alternative causes or disabling conditions) for causal conditionals. In Experiment 2, using a generation pretest, we measured the number of counterexamples participants could retrieve for a set of causal conditionals. One month after the pretest, participants were presented a reasoning task with the same conditionals. The experiments indicated that acceptance of modus ponens linearly decreased with every additionally retrieved disabler, whereas affirmation of the consequent acceptance linearly decreased as a function of the number of retrieved alternatives. Results for denial of the antecedent and modus tollens were less clear. The findings show that the search process does not necessarily stop after retrieval of a single counterexample and that every additional counterexample has an impact on the inference acceptance.

Entities:  

Mesh:

Year:  2003        PMID: 12872874     DOI: 10.3758/bf03196099

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  19 in total

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5.  Causal conditional reasoning and semantic memory retrieval: a test of the semantic memory framework.

Authors:  Wim De Neys; Walter Schaeken; Géry d'Ydewalle
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6.  The development of conditional reasoning and the structure of semantic memory.

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7.  Conditional reasoning, causality, and the structure of semantic memory: strength of association as a predictive factor for content effects.

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8.  Naive theories and causal deduction.

Authors:  D D Cummins
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9.  Interpretational factors in conditional reasoning.

Authors:  V A Thompson
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Review 10.  Mental models and probabilistic thinking.

Authors:  P N Johnson-Laird
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  12 in total

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Review 6.  Reasoning about causal relationships: Inferences on causal networks.

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Journal:  Mem Cognit       Date:  2010-06

9.  General aptitude and the assumption of truth in deductively rational reasoning about probable but false antecedent to consequent relations.

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Review 10.  Neural correlates of causal power judgments.

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Journal:  Front Hum Neurosci       Date:  2014-12-22       Impact factor: 3.169

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