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Causal and conditional inferences: a comment on Cummins (1995)

N Fairley¹, K I Manktelow

¹University of Wolverhampton, England.

Memory & Cognition

|May 1, 1997

Summary

This study refines predictions about how alternative causes and disabling conditions impact conditional inferences. It proposes a modified analysis for causal conditionals to improve argument validity judgments.

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Area of Science:

Cognitive Science
Philosophy of Mind
Logic

Background:

Existing analysis of causal and truth-functional sufficiency and necessity by Cummins (1995) has inconsistencies.
Pragmatic factors like alternative causes and disabling conditions influence conditional inferences.

Discussion:

This note proposes a modified analysis to address the inconsistencies in Cummins' predictions.
The revised approach aims to provide a sounder theoretical base for understanding these pragmatic influences.

Key Insights:

Alternative causes and disabling conditions influence judgments of argument validity.
These influences are analyzed under three distinct models of the causal conditional.
The modified analysis offers a more consistent justification for predictions regarding pragmatic factors in conditional reasoning.

Outlook:

Further research can explore the empirical validation of the proposed modified analysis.
Investigating the cognitive mechanisms underlying these judgments under different causal models is warranted.
This work contributes to a more robust understanding of causal reasoning and conditional inference.

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