Emergent Ghosts of the Emotion Machine
Emergent Ghosts of the Emotion Machine
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DOI：
10.1177/1754073910361978
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发表时间：
2010-07-01
期刊：
影响因子：
5.4
通讯作者：
Coan, James A.
中科院分区：
文献类型：
--
作者：
Coan, James A.
竞争的观点的本质上的情绪说明了潜在的和新兴的变量模型。潜变量模型源自经典测试理论，假设测量的情绪指标因大脑中一些共同的执行、组织神经回路或网络而协变。相比之下，涌现变量模型从理论驱动的，操作定义的传统，假定情绪不会引起，而是由情绪的测量指标引起的，假设没有执行神经回路或网络，并且不需要指标之间的协变。我认为，涌现变量模型可能更符合现存的文献对情绪的性质，特别是在情感神经科学的时代。
Competing perspectives on the nature of emotion are illustrated with latent and emergent variable models. Latent variable models draw from classical test theory, assuming that the measured indicators of emotion covary by virtue of some common executive, organizing neural circuit or network in the brain. By contrast, emergent variable models draw from a theory-driven, operational definition tradition, positing that emotions do not cause, but rather are caused by, the measured indicators of emotion, assuming no executive neural circuit or network, and requiring no covariation among indicators. I suggest that the emergent variable model may be more compatible with the extant literature on the nature of emotion, especially in the age of affective neuroscience.