Previous active inference accounts of emotion translate fluctuations in free energy to a sense of emotion, mainly focusing on valence. However, in affective science, emotions are often represented as multi-dimensional. In this paper, we propose to adopt a Circumplex Model of emotion by mapping emotions into a two-dimensional spectrum of valence and arousal. We show how one can derive a valence and arousal signal from an agent's expected free energy, relating arousal to the entropy of posterior beliefs and valence to utility less expected utility. Under this formulation, we simulate artificial agents engaged in a search task. We show that the manipulation of priors and object presence results in commonsense variability in emotional states.

翻译：先前关于情绪的活动推理解释主要将自由能的波动转化为情绪感受，重点关注效价维度。然而在情感科学中，情绪通常被表征为多维度的。本文提出采用情绪环状模型，将情绪映射到效价与唤醒度的二维谱系中。我们展示了如何从智能体的期望自由能推导出效价与唤醒度信号：唤醒度与后验信念的熵相关联，效价则与效用减去期望效用相关。在此框架下，我们模拟了执行搜索任务的人工智能体。实验表明，通过操纵先验概率与客体存在性，可以产生符合常识的情绪状态变化。