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Complex Dynamical Systems in Social and Personality Psychology: Theory, Modeling, and Analysis
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“Prediction, in this framework, is not the outcome of internal model selection but a natural consequence of temporally structured dynamics—where the system’s history and current state constrain its future evolution, without requiring explicit Bayesian updating (Schmidt and Richardson 2008; Richardson et al. 2014).”
From The myth of the Bayesian brain (2025) · cites this paper as Richardson et al. 2014
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Self-citation
Metadata
- Authors
- Richardson, M. J., Dale, R., & Marsh, K. L.
- Venue
- Handbook of Research Methods in Social and Personality Psychology
- Publisher
- Cambridge University Press
- Published
- 2014-02-24
- Pages
- 253-282
- OpenAlex
- W2475480073
- Semantic Scholar
- 86460ef314f6d481e790d4f6d83a263551734e5b
- Cited by
- 104
- References
- 174
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 8 · 2023: 11 · 2022: 10 · 2021: 6 · 2020: 11 · 2019: 6 · 2018: 8 · 2017: 10 · 2016: 3 · 2015: 5 · 2014: 3
- FWCI
- 12.81
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Education › Chaos, Complexity, and Education
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Keywords
- complex dynamical systems, social psychology, personality psychology, nonlinear dynamics, chaos theory, self-regulation
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