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Foster-Hanson, Emily; Leslie, Sarah-Jane; Rhodes, Marjorie – Cognitive Science, 2022
Generic language (e.g., "tigers have stripes") leads children to assume that the referenced category (e.g., tigers) is inductively informative and provides a causal explanation for the behavior of individual members. In two preregistered studies with 4- to 7-year-old children (N = 497), we considered the mechanisms underlying these…
Descriptors: Young Children, Error Correction, Beliefs, Classification
Rips, Lance J.; Edwards, Brian J. – Cognitive Science, 2013
This article reports results from two studies of how people answer counterfactual questions about simple machines. Participants learned about devices that have a specific configuration of components, and they answered questions of the form "If component X had not operated [failed], would component Y have operated?" The data from these…
Descriptors: Inferences, Logical Thinking, Cognitive Psychology, Causal Models
Lagnado, David A.; Gerstenberg, Tobias; Zultan, Ro'i – Cognitive Science, 2013
How do people attribute responsibility in situations where the contributions of multiple agents combine to produce a joint outcome? The prevalence of over-determination in such cases makes this a difficult problem for counterfactual theories of causal responsibility. In this article, we explore a general framework for assigning responsibility in…
Descriptors: Attribution Theory, Causal Models, Responsibility, Cognitive Psychology
Sloman, Steven A.; Lagnado, David A. – Cognitive Science, 2005
A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines (1993; cf. Pearl, 2000). The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To…
Descriptors: Observation, Intervention, Causal Models, Prediction