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      Variability and harshness shape flexible strategy-use in support of the constrained flexibility framework

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          Abstract

          Human cognition is incredibly flexible, allowing us to thrive within diverse environments. However, humans also tend to stick to familiar strategies, even when there are better solutions available. How do we exhibit flexibility in some contexts, yet inflexibility in others? The constrained flexibility framework (CFF) proposes that cognitive flexibility is shaped by variability, predictability, and harshness within decision-making environments. The CFF asserts that high elective switching (switching away from a working strategy) is maladaptive in stable or predictably variable environments, but adaptive in unpredictable environments, so long as harshness is low. Here we provide evidence for the CFF using a decision-making task completed across two studies with a total of 299 English-speaking adults. In line with the CFF, we found that elective switching was suppressed by harshness, using both within- and between-subjects harshness manipulations. Our results highlight the need to study how cognitive flexibility adapts to diverse contexts.

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          brms: An R Package for Bayesian Multilevel Models Using Stan

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            Advanced Bayesian Multilevel Modeling with the R Package brms

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              Unity and diversity of executive functions: Individual differences as a window on cognitive structure.

              Executive functions (EFs) are high-level cognitive processes, often associated with the frontal lobes, that control lower level processes in the service of goal-directed behavior. They include abilities such as response inhibition, interference control, working memory updating, and set shifting. EFs show a general pattern of shared but distinct functions, a pattern described as "unity and diversity". We review studies of EF unity and diversity at the behavioral and genetic levels, focusing on studies of normal individual differences and what they reveal about the functional organization of these cognitive abilities. In particular, we review evidence that across multiple ages and populations, commonly studied EFs (a) are robustly correlated but separable when measured with latent variables; (b) are not the same as general intelligence or g; (c) are highly heritable at the latent level and seemingly also highly polygenic; and (d) activate both common and specific neural areas and can be linked to individual differences in neural activation, volume, and connectivity. We highlight how considering individual differences at the behavioral and neural levels can add considerable insight to the investigation of the functional organization of the brain, and conclude with some key points about individual differences to consider when interpreting neuropsychological patterns of dissociation.
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                Author and article information

                Contributors
                popecaldwell.sarah@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                27 March 2024
                27 March 2024
                2024
                : 14
                : 7236
                Affiliations
                [1 ]Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, ( https://ror.org/02a33b393) Leipzig, Germany
                [2 ]Center for Adaptive Rationality, Max Planck Institute for Human Development, ( https://ror.org/02pp7px91) Berlin, Germany
                [3 ]Science of Intelligence Excellence Cluster, Technical University Berlin, ( https://ror.org/03v4gjf40) Berlin, Germany
                [4 ]McCombs School of Business, University of Texas, ( https://ror.org/00hj54h04) Austin, TX USA
                [5 ]Leipzig Research Center for Early Child Development, Leipzig, Germany
                Article
                57800
                10.1038/s41598-024-57800-w
                10973413
                38538731
                3fbc99c3-b10a-4888-aa1d-8d47a5a6b54e
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 March 2023
                : 21 March 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: 390523135
                Award Recipient :
                Funded by: Max Planck Society for the Advancement of Science
                Funded by: Max Planck Institute for Evolutionary Anthropology (2)
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                cognitive flexibility,constrained flexibility framework,decision-making,adaptive cognition,human behaviour,cultural evolution

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