Computational Modeling Approaches to Emotional Development
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| Title: | Computational Modeling Approaches to Emotional Development |
|---|---|
| Language: | English |
| Authors: | Andrea G. Stein (ORCID |
| Source: | Developmental Psychology. 2025 61(4):679-690. |
| Availability: | American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| Publication Date: | 2025 |
| Sponsoring Agency: | National Institute of Mental Health (NIMH) (DHHS/NIH) |
| Contract Number: | T32MH018931 R01MH61285 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Emotional Development, Models, Child Development, Change, Logical Thinking, Experience, Cognitive Development, Maturity (Individuals) |
| DOI: | 10.1037/dev0001830 |
| ISSN: | 0012-1649 1939-0599 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1502408 |
| Database: | ERIC |
| 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. |
|---|---|
| ISSN: | 0012-1649 1939-0599 |
| DOI: | 10.1037/dev0001830 |
