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Related Experiment Videos

Deductive reasoning from uncertain conditionals.

Guy Politzer1, Gaëtan Bourmaud

  • 1CNRS-Psychologie Cognitive,Université de Paris 8, Saint-Denis, France. politzer@univ-paris8.fr

British Journal of Psychology (London, England : 1953)
|September 17, 2002
PubMed
Summary

People often find conditional reasoning uncertain when premises are debatable or probabilistic. This suggests implicit conditions influence how we process logical arguments, impacting conclusions.

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Area of Science:

  • Cognitive Psychology
  • Logic and Reasoning
  • Decision Making

Background:

  • Review of literature on plausible reasoning with deductive arguments.
  • Evidence shows people find valid conditional arguments uncertain under specific conditions.
  • Identifies three key conditions leading to uncertainty in conditional reasoning.

Purpose of the Study:

  • To investigate the non-monotonic effects in plausible reasoning with conditional arguments.
  • To generalize findings on conditional reasoning uncertainty across various argument types.
  • To explore the impact of task representation on conditional reasoning performance.

Main Methods:

  • Literature review on plausible reasoning and conditional premises.
  • Presentation of three experiments: two generalizing findings, one on task representation.

Related Experiment Videos

  • Analysis of how tacit conditions affect reasoning and the Suppression Effect.
  • Main Results:

    • Conditional arguments become uncertain when premises are debatable, probabilistic, or when additional premises introduce doubt.
    • Non-monotonic effects arise from doubting tacit conditions necessary for the argument's consequent.
    • Task representation significantly influences performance in conditional reasoning.

    Conclusions:

    • A pragmatic account is proposed for how tacit conditions are treated in plausible reasoning.
    • The account is examined in relation to conditional probability and the Suppression Effect.
    • Suggestions are made for implementing uncertainty within mental logic systems.