TY - JOUR
T1 - The evolution and development of the uniquely human capacity for emotional awareness
T2 - A synthesis of comparative anatomical, cognitive, neurocomputational, and evolutionary psychological perspectives
AU - Smith, Ryan
AU - Steklis, Horst Dieter
AU - Steklis, Netzin G.
AU - Weihs, Karen L.
AU - Lane, Richard D.
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/7
Y1 - 2020/7
N2 - We offer an interdisciplinary framework for understanding the expanded capacity for emotional awareness (EA) in humans relative to other animals, synthesizing work within computational neuroscience, evolutionary psychology, and comparative anatomy. We argue that disproportionate cortical expansion during human evolution reflects additional hierarchical levels of computational processing, allowing representation of multimodal regularities over longer timescales – affording abstract concept learning, internal simulation of distal future outcomes, and expanded working memory capacity. This allows for the ability to simulate emotions, learn emotion concepts, and manipulate them in working memory when deciding how to act. We also draw on the construct of life history strategy within evolutionary psychology to argue that individual differences in EA within humans can be understood as the result of tuning particular computational parameters to the predictability of long timescale socioemotional regularities of the local environment. We conclude by discussing the implications and testable hypotheses offered by our proposed framework.
AB - We offer an interdisciplinary framework for understanding the expanded capacity for emotional awareness (EA) in humans relative to other animals, synthesizing work within computational neuroscience, evolutionary psychology, and comparative anatomy. We argue that disproportionate cortical expansion during human evolution reflects additional hierarchical levels of computational processing, allowing representation of multimodal regularities over longer timescales – affording abstract concept learning, internal simulation of distal future outcomes, and expanded working memory capacity. This allows for the ability to simulate emotions, learn emotion concepts, and manipulate them in working memory when deciding how to act. We also draw on the construct of life history strategy within evolutionary psychology to argue that individual differences in EA within humans can be understood as the result of tuning particular computational parameters to the predictability of long timescale socioemotional regularities of the local environment. We conclude by discussing the implications and testable hypotheses offered by our proposed framework.
KW - Active inference
KW - Computational neuroscience
KW - Emotion
KW - Emotional awareness
KW - Human evolution
KW - Hypersociality
KW - Life history strategy
KW - Sex differences
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UR - http://www.scopus.com/inward/citedby.url?scp=85087281442&partnerID=8YFLogxK
U2 - 10.1016/j.biopsycho.2020.107925
DO - 10.1016/j.biopsycho.2020.107925
M3 - Review article
C2 - 32610156
AN - SCOPUS:85087281442
SN - 0301-0511
VL - 154
JO - Biological Psychology
JF - Biological Psychology
M1 - 107925
ER -