Agent-based modeling for understanding social intelligence

被引：18

作者：

Conte, R ^{[1
]}

机构：

[1] CNR, Inst Cognit Sci & Technol, I-00137 Rome, Italy

来源：

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | 2002年 / 99卷

关键词：

D O I：

10.1073/pnas.072078999

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：7189 / 7190

页数：2

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