Collective intelligence
Collective intelligence
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DOI：
10.1109/mci.2006.1672982
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发表时间：
2006-08
期刊：
影响因子：
--
通讯作者：
A. Pentland
中科院分区：
文献类型：
--
作者：
A. Pentland
人类智能的计算模型几乎总是将个人作为分析的基本单位。但这是正确的吗？例如，如果智能主要是一个群体（或者更一般地说，社会网络）现象，那么我们就必须极大地改变我们处理计算智能问题的方式。为了探索这个问题，作者建立了一个“社会范围”来跟踪人类群体的行为，在很长一段时间内，他发现，通过只考虑某些种类的模仿，非语言的社会信号和刺激反应机制，可以准确地模拟大量的人类行为。也就是说，人类的智能实质上，甚至可能在很大程度上，是一种集体的网络现象
Computational models of human intelligence almost always take the individual as the fundamental unit of analysis. But is this correct? For instance, if intelligence were primarily a group (or more generally, social network) phenomenon, then we would have to dramatically change how we approach the problem of computational intelligence. To explore this question, the author has built a `socioscope' to track the behavior of groups of humans in great detail and during long periods of time, What he finds is that an amazing amount of human behavior can be accurately modeled by considering only certain sorts of mimicry, non-linguistic social signals, and stimulus-response mechanisms. That is, human intelligence is substantially, and perhaps even largely, a collective, network phenomenon