To make progress related to long-standing questions related to the nature of emotion, we offer the Interactive Activation and Competition framework for Emotion (IAC-E). The IAC-E is not another conventional theory of emotion. Rather, it offers a neural-network-based, algorithmic account of how emotion instances and categories arise. Our approach suggests that there need not be a contradiction between instances of the same emotion being sometimes consistent and sometimes variable. Similarly, there need not be a contradiction between observations of homogeneity (common in the basic emotion approach) and heterogeneity (common in the constructed emotion approach) within emotion categories

中文翻译：

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为什么对情感的联结主义观点是有帮助的

为了在与情感本质相关的长期问题上取得进展，我们提供了情感互动激活和竞争框架 (IAC-E)。IAC-E 不是另一种传统的情感理论。相反，它提供了一个基于神经网络的算法来解释情绪实例和类别是如何产生的。我们的方法表明，同一情绪的实例之间不一定存在矛盾，有时是一致的，有时是可变的。类似地，情绪类别内的同质性（在基本情绪方法中很常见）和异质性（在构建情绪方法中很常见）的观察之间不需要矛盾