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A General Architecture for Social Intelligence in the Human Mind & Brain
Author(s) -
Jeungmin Lee,
Jerald D. Kralik,
Jaeseung Jeong
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.11.034
Subject(s) - computer science , cognition , cognitive architecture , process (computing) , metacognition , social intelligence , architecture , human intelligence , artificial general intelligence , outcome (game theory) , cognitive science , social cognition , artificial intelligence , control (management) , cognitive psychology , knowledge management , psychology , social psychology , art , mathematics , mathematical economics , neuroscience , visual arts , operating system
Substantial evidence has amassed for social cognition in the human mind and brain, but surprisingly little theoretical work exists that organizes the information in a complete, coherent framework. To address this deficiency, we recently developed a general framework of social intelligence. Here we describe multiple further developments. In particular, we develop metacognitive control over the entire process of problem-solving based on social information, including management of multiple simultaneous problems, and active outcome monitoring. We better delineate the critical influence of affect/emotion, and we distinguish structure vs process throughout the model more explicitly, including specifying the inputs and outputs of each main process. Ultimately, a comprehensive social cognitive architecture will be needed for the common model of cognition.

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