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引用本文的文献

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Modeling opinion misperception and the emergence of silence in online social system.在线社交系统中意见误解和沉默的出现模型。
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2
On agent-based modeling and computational social science.论基于主体的建模与计算社会科学。
Front Psychol. 2014 Jul 14;5:668. doi: 10.3389/fpsyg.2014.00668. eCollection 2014.

基于主体建模以理解社会智能。

Agent-based modeling for understanding social intelligence.

作者信息

Conte Rosaria

机构信息

Institute of Cognitive Science and Technology, National Research Council, Via le Marx 15, 00137 Rome, Italy.

出版信息

Proc Natl Acad Sci U S A. 2002 May 14;99 Suppl 3(Suppl 3):7189-90. doi: 10.1073/pnas.072078999. Epub 2002 May 7.

DOI:10.1073/pnas.072078999
PMID:11997442
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC128580/
Abstract

The advantages of agent-based modeling for a general theory of intelligence at the individual and social level are emphasized over other existing approaches mainly relying on rationality theories. As was pointed out during the National Academy of Sciences Sackler Colloquium session "Implications of Agent-Based Modeling for Understanding Human Rationality and Learning," held in October 2001, properties of social intelligent agents include adaptability and learning capacity, as well as the capacity to produce and employ artifacts and manipulate symbols.

摘要

基于智能体的建模在个体和社会层面构建通用智能理论方面的优势,相较于主要依赖理性理论的其他现有方法,得到了更多强调。正如在2001年10月举行的美国国家科学院萨克勒研讨会上“基于智能体的建模对理解人类理性与学习的影响”这一环节所指出的,社会智能体的特性包括适应性和学习能力,以及生产和使用人工制品与操纵符号的能力。