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Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

Published online by Cambridge University Press:  19 June 2020

Valerie F. Reyna  and
David A. Broniatowski Open the ORCID record for David A. Broniatowski [Opens in a new window]
Valerie F. Reyna
Affiliation:
Department of Human Development, Human Neuroscience Institute, Cornell University, Ithaca, NY14853 vr53@cornell.edu https://www.human.cornell.edu/hd/research/labs/lrdm/publications
David A. Broniatowski
Affiliation:
Department of Engineering Management and Systems Engineering, The George Washington University, Washington, DC20052. broniatowski@gwu.edu https://www2.seas.gwu.edu/~broniatowski/index.html
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Abstract

Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 43 , 2020 , e144
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Alba, J. W. & Hasher, L. (1983) Is memory schematic? Psychological Bulletin 93(2):203–231. https://doi.org/10.1037/0033-2909.93.2.203.CrossRefGoogle Scholar
Brainerd, C. J., Yang, Y., Reyna, V. F., Howe, M. L. & Mills, B. A. (2008) Semantic processing in “associative” false memory. Psychonomic Bulletin & Review 15(6):1035–1053. doi: 10.3758/PBR.15.6.1035.CrossRefGoogle ScholarPubMed
Broniatowski, D. A. & Reyna, V. F. (2018) A formal model of fuzzy-trace theory: Variations on framing effects and the Allais Paradox. Decision 5(4):205–52. https://doi.org/10.1037/dec0000083.CrossRefGoogle ScholarPubMed
d'Acremont, M., Fornari, E. & Bossaerts, P. (2013) Activity in inferior parietal and medial prefrontal cortex signals the accumulation of evidence in a probability learning task. PLOS Computational Biology 9:e1002895. doi: 10.1371/journal.pcbi.1002895.CrossRefGoogle Scholar
Fukukura, J., Ferguson, M. J. & Fujita, K. (2013) Psychological distance can improve decision making under information overload via gist memory. Journal of Experimental Psychology: General 142(3):658–65. doi: 10.1037/a0030730.CrossRefGoogle ScholarPubMed
Helm, R. K., Reyna, V. F., Franz, A. A. & Novick, R. Z. (2018) Too young to plead? Risk, rationality, and plea bargaining's innocence problem in adolescents. Psychology, Public Policy, and Law 24(2):180–91. doi: 10.1037/law0000156.CrossRefGoogle Scholar
Mills, B. A., Reyna, V. F. & Estrada, S. (2008) Explaining contradictory relations between risk perception and risk taking. Psychological Science 19(5):429–34. doi: 10.1111/j.1467-9280.2008.02104.x.CrossRefGoogle ScholarPubMed
Rasmussen, J. (1985) The role of hierarchical knowledge representation in decision making and system management. IEEE Transactions on Systems, Man, and Cybernetics 15(2):234–43.CrossRefGoogle Scholar
Reyna, V. F. (2012) A new intuitionism: Meaning, memory, and development in fuzzy-trace theory. Judgment and Decision Making 7(3):332–59.Google ScholarPubMed
Reyna, V. F. & Brainerd, C. J. (2011) Dual processes in decision making and developmental neuroscience: A fuzzy-trace model. Developmental Review 31:180–206.Google ScholarPubMed
Reyna, V. F., Estrada, S. M., DeMarinis, J. A., Myers, R. M., Stanisz, J. M. & Mills, B. A. (2011) Neurobiological and memory models of risky decision making in adolescents versus young adults. Journal of Experimental Psychology: Learning, Memory, and Cognition 37(5):1125–42.CrossRefGoogle Scholar
Reyna, V. F., Helm, R. K., Weldon, R. B., Shah, P. D., Turpin, A. G. & Govindgari, S. (2018) Brain activation covaries with reported criminal behaviors when making risky choices: A fuzzy-trace theory approach. Journal of Experimental Psychology: General 147(7):1094–1109.CrossRefGoogle ScholarPubMed
Reyna, V. F. & Panagiotopoulos, C. (in press) Morals, money, and risk taking from childhood to adulthood: The neurodevelopmental framework of fuzzy-trace theory. In: The social brain – a developmental perspective, ed. Decety, J.. The MIT Press.Google Scholar
Spreng, R. N. & Turner, G. R. (2019) The shifting architecture of cognition and brain function in older adulthood. Perspectives on Psychological Science 14(4):523–42.CrossRefGoogle ScholarPubMed