Journal of Multiscale Neuroscience

J. B. Falandays, R. Kaaronen, Cody Moser, Wiktor Rorot, Joshua Tan, Vishwanath Varma, Tevin Williams, Mason Youngblood
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引用次数: 1

Abstract

Collective intelligence, broadly conceived, refers to the adaptive behavior achieved by groups through the interactions of their members, often involving phenomena such as consensus building, cooperation, and competition. The standard view of collective intelligence is that it is a distinct phenomenon from supposed individual intelligence. In this position piece, we argue that a more parsimonious stance is to consider all intelligent adaptive behavior as being driven by similar abstract principles of collective dynamics. To illustrate this point, we highlight how similar principles are at work in the intelligent behavior of groups of non-human animals, multicellular organisms, brains, small groups of humans, cultures, and even evolution itself. If intelligent behavior in all of these systems is best understood as the emergent result of collective interactions, we ask what is left to be called “individual intelligence”? We believe that viewing all intelligence as collective intelligence offers greater explanatory power and generality, and may promote fruitful cross-disciplinary exchange in the study of intelligent adaptive behavior.
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多尺度神经科学杂志
从广义上讲,集体智慧指的是群体通过其成员的相互作用而实现的适应性行为,通常涉及共识建立、合作和竞争等现象。集体智慧的标准观点是,它是一种不同于假定的个体智慧的现象。在这篇文章中,我们认为,一个更简洁的立场是将所有智能适应行为视为由类似的抽象集体动力原则驱动。为了说明这一点,我们强调了类似的原则是如何在非人类动物群体、多细胞生物、大脑、小群体人类、文化甚至进化本身的智能行为中起作用的。如果所有这些系统中的智能行为都被最好地理解为集体互动的涌现结果,那么我们要问的是,还剩下什么可以被称为“个体智能”?我们认为,将所有智能视为集体智能提供了更大的解释力和普遍性,并可能促进智能适应行为研究中卓有成效的跨学科交流。
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