ReviewDevelopmental psychology2025
Computational modeling approaches to emotional development.
Review in Developmental psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
2 authors.
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Abstract
Computational models of development have the potential to address a key challenge in emotional development research: investigating not only what changes across development but also how these changes come about. Drawing on connectionist and Bayesian methods, this review considers how computational modeling could augment the processes of theorizing and behavioral research to investigate causal processes underlying emotional development. As an illustrative example, we consider how different modeling approaches could help researchers evaluate different ideas about how children come to reason about others' emotions in increasingly sophisticated ways across development. This example is just a starting point; we propose that computational modeling could be an invaluable tool for exploring a variety of yet unresolved "how" questions in emotional development. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.