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Embedding Cognition: Judgment and Choice in an Interdependent and Dynamic World
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-7780-1039
Number of Authors: 32023 (English)In: Current directions in psychological science (Print), ISSN 0963-7214, E-ISSN 1467-8721, Vol. 32, no 4, p. 328-336Article in journal (Refereed) Published
Abstract [en]

Society is facing pressing interrelated, multilevel, and systemic challenges. Human consumption patterns are driving biodiversity loss and climate change, with unevenly distributed impacts that exacerbate preexisting inequalities. Structural or systems-level solutions to these challenges depend on group- and individual-level change, and vice versa. Although cognitive psychology has advanced our understanding of individual and group-level decision-making, it rarely links these microlevel processes and behaviors to network- and systems-level structures, resulting in a fragmented theory of how individual and collective action can drive broader social change. For example, psychology has established that physical, social, and historical contexts shape perception, reasoning, and decision-making but has largely ignored the dynamic and interdependent relationship between behavior and contexts. In this review, we urge researchers to move beyond a focus on static contexts and individual and group-level cognition to incorporate deeper theorizing about the temporal dynamics and feedbacks between individuals and the broader contexts in which they are embedded. We review literature emphasizing the role of context in shaping psychological processes as well as emerging research that considers individuals as embedded in complex adaptive systems. Complex adaptive systems frameworks are well suited to study the dynamic and interdependent relationship among individuals and the broader systems and structures they inhabit. The integration of research in psychology with these perspectives may thus offer traction in identifying solution pathways to complex, multilevel challenges by pointing to theories and methods that integrate across levels of analysis and account for coupled nature-society systems. 

Place, publisher, year, edition, pages
2023. Vol. 32, no 4, p. 328-336
Keywords [en]
complex adaptive systems, embedded cognition, context-dependence, agent based models, social-ecological systems, social tipping
National Category
Sociology (Excluding Social Work, Social Anthropology, Demography and Criminology) Peace and Conflict Studies Other Social Sciences not elsewhere specified Ecology
Identifiers
URN: urn:nbn:se:su:diva-220432DOI: 10.1177/09637214231159282ISI: 001000594900001Scopus ID: 2-s2.0-85162956352OAI: oai:DiVA.org:su-220432DiVA, id: diva2:1793039
Available from: 2023-08-31 Created: 2023-08-31 Last updated: 2025-02-20Bibliographically approved

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Schlüter, Maja

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