Agent-based modeling for understanding social intelligence
Agent-based modeling for understanding social intelligence
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DOI：
10.1073/pnas.072078999
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发表时间：
2002-05-14
影响因子：
11.1
通讯作者：
Conte, R
中科院分区：
文献类型：
--
作者：
Conte, R
与主要依赖于理性理论的其他现有方法相比，强调了个人和社会层面上基于主体的一般智力理论建模的优势。正如 2001 年 10 月举行的美国国家科学院萨克勒学术讨论会“基于代理的建模对理解人类理性和学习的影响”期间所指出的那样，社会智能代理的属性包括适应性和学习能力，以及生产和使用人工制品和操纵符号的能力。
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.