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Published on: March 1, 2022
A counterfactual explanation for the action effect in causal judgment
Paul Henne1, Laura Niemi2, Ángel Pinillos3
1Department of Philosophy, Duke University, United States; Department of Philosophy and Center for Cognitive Neuroscience, Duke University, United States.
People often judge actions as more causal than inactions. This study introduces a counterfactual explanation, suggesting we consider action alternatives more readily, impacting causal judgments.
Area of Science:
- Cognitive Psychology
- Decision Science
- Philosophy of Mind
Background:
- The action effect describes the tendency to attribute greater causality to actions than to inactions.
- Previous research has established the action effect but lacked a comprehensive explanation for its underlying mechanisms.
- Understanding causal judgment is crucial for fields ranging from law to artificial intelligence.
Purpose of the Study:
- To propose and test a novel counterfactual explanation for the action effect in causal judgment.
- To investigate whether people's inclination to consider counterfactuals of actions versus inactions drives the action effect.
- To explore the conditions under which the action effect might be reversed.
Main Methods:
- Three experiments were conducted to examine causal judgments in various scenarios.
- Experiment 1a replicated the standard action effect.
- Experiments 1b and 2 tested the counterfactual explanation, including overdetermination cases and joint-causation scenarios.
Main Results:
- The action effect was consistently observed, with actions judged as more causal than inactions.
- A novel 'reverse action effect' was found in overdetermination cases, where inactions were judged as more causal.
- Results supported the counterfactual explanation, indicating differential consideration of alternatives to actions and inactions.
Conclusions:
- The counterfactual explanation provides a robust account for the action effect in causal judgment.
- People's cognitive processes in evaluating causality are influenced by the ease of imagining alternatives.
- This research deepens our understanding of how humans make causal attributions, particularly concerning actions and inactions.
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