Causality in thought

SA Sloman, D Lagnado - Annual review of psychology, 2015 - annualreviews.org
Causal knowledge plays a crucial role in human thought, but the nature of causal
representation and inference remains a puzzle. Can human causal inference be captured by …

Psychological essentialism and the structure of concepts

E Neufeld - Philosophy compass, 2022 - Wiley Online Library
Psychological essentialism is the hypothesis that humans represent some categories as
having an underlying essence that unifies members of a category and is causally …

A Context‐Dependent Bayesian Account for Causal‐Based Categorization

N Marchant, T Quillien, SE Chaigneau - Cognitive Science, 2023 - Wiley Online Library
The causal view of categories assumes that categories are represented by features and their
causal relations. To study the effect of causal knowledge on categorization, researchers …

Are we teleologically essentialist?

S Joo, SR Yousif - Cognitive Science, 2022 - Wiley Online Library
People may conceptualize certain categories as held together by a category‐specific
“essence”—some unobservable, critical feature that causes the external features of a …

[PDF][PDF] Know your priors: Task specific priors reflect subjective expectations in Bayesian models of categorization

M Marchant, F Toro-Hernandez, SE Chaigneau - PsyArXiv, 2021 - researchgate.net
The emergence of Bayesian causal models has had an enormous influence on how
researchers understand people's processing of probabilistic information, providing a …

Why the designer's intended function is central for proper function assignment and artifact conceptualization: Essentialist and normative accounts

SE Chaigneau, G Puebla, EC Canessa - Developmental Review, 2016 - Elsevier
People tend to think that the function intended by an artifact's designer is its real or proper
function. Relatedly, people tend to classify artifacts according to their designer's intended …

Designing probabilistic category learning experiments: the probabilistic prototype distortion task

N Marchant, SE Chaigneau - … of the Annual Meeting of the …, 2021 - escholarship.org
Many category learning experiments use supervised learning (ie, trial-by-trial feedback).
Most of those procedures use deterministic feedback, teaching participants to classify …

[PDF][PDF] Designing probabilistic category learning experiments: The probabilistic prototype distortion

N Marchant, SE Chaigneau - Proceedings of the Annual Meeting of …, 2021 - academia.edu
Many category learning experiments use supervised learning (ie, trial-by-trial feedback).
Most of those procedures use deterministic feedback, teaching participants to classify …

[引用][C] Concepts as causal models: Categorization

B Rehder - The Oxford handbook of causal …, 2017 - Oxford University Press New York …

[PDF][PDF] A Piecemeal Processing Strategy Model for Causal-Based Categorization.

G Puebla, SE Chaigneau - CogSci, 2019 - guillermopuebla.com
Over the last 20 years, causal-model theory has produced much knowledge about causal-
based categorization. However, persistent violations to the normative causal-model theory …