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Hierarchical causal models representing both specific theories and framework theories

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 review), q3 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The article argues that recently developed hierarchical causal models can capture the theory theory's claim that specific causal theories are embedded in more abstract framework theories. As it states, 'These hierarchical models can characterize broader framework theories along with more specific causal relationships as well as characterize the relations between theories at different levels of abstraction', allowing learning at both local and abstract levels within one Bayesian formalism.

Accounts

  • Hierarchical causal models representing both specific theories and framework theories: The article argues that recently developed hierarchical causal models can capture the theory theory's claim that specific causal theories are embedded in more abstract framework theories. As it states, 'These hierarchical models can characterize broader framework theories along with more specific causal relationships as well as characterize the relations between theories at different levels of abstraction', allowing learning at both local and abstract levels within one Bayesian formalism. (Gopnik et al. (2012))

Claims

Key Sources

  • Gopnik, A., & Wellman, H. M. (2012). Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory. Psychological Bulletin, 138(6), 1085-1108. https://doi.org/10.1037/a0028044
Page metadata
Field Value
type research-method
id hierarchical-causal-models-representing-both-specific-theories-and-framework-theories
title Hierarchical causal models representing both specific theories and framework theories
description The article argues that recently developed hierarchical causal models can capture the theory theory's claim that specific causal theories are embedded in more abstract framework theories.
status review
generated by process:settle-candidates on 2026-10-17
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