A General Architecture for Social Intelligence in the Human Mind & Brain

被引:1
|
作者
Lee, Jeungmin [1 ,2 ]
Kralik, Jerald D. [1 ]
Jeong, Jaeseung [1 ,2 ]
机构
[1] Korea Adv Inst Sci & Technol KAIST, Dept Bio & Brain Engn, Coll Engn, Daejeon 34141, South Korea
[2] Korea Adv Inst Sci & Technol KAIST, Program Brain & Cognit Engn, Coll Engn, Daejeon 34141, South Korea
关键词
Social cognition; decision-making; theory of mind; social neuroscience; multiagent systems; artificial social intelligence;
D O I
10.1016/j.procs.2018.11.034
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures.
引用
收藏
页码:747 / 756
页数:10
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