2023
DOI: 10.31234/osf.io/uwdbr
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A computational model of responsibility judgments from counterfactual simulations and intention inferences

Abstract: How responsible someone is for an outcome depends on what causal role their actions played, and what those actions reveal about their mental states, such as their intentions. In this paper, we develop a computational account of responsibility attribution that integrates these two cognitive processes: causal attribution and mental state inference. Our model makes use of a shared generative planning algorithm assumed to approximate people's intuitive theory of mind about others' behavior. We test our model on a … Show more

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Cited by 2 publications
(7 citation statements)
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“…It not only affects how we learn and feel about the world (97), but also how we judge what caused what and who is to blame. I presented the counterfactual simulation model (CSM) -a computational account that captures people's causal and responsibility judgments across a variety of scenarios in the physical and social domain (41,126).…”
Section: Discussionmentioning
confidence: 99%
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“…It not only affects how we learn and feel about the world (97), but also how we judge what caused what and who is to blame. I presented the counterfactual simulation model (CSM) -a computational account that captures people's causal and responsibility judgments across a variety of scenarios in the physical and social domain (41,126).…”
Section: Discussionmentioning
confidence: 99%
“…Because of this principled way in which mental states cause actions, an observer can reason backward from an action to the likely mental states that caused it. And because one person's utility can include another person's utility, this framework also supports inferences about social interactions, such as whether one person intended to help or hinder another (47,91,114,102,126,21).…”
Section: Causation In the Social Worldmentioning
confidence: 92%
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