论文标题
价和元意识在镜像自我识别中使用层次主动推断的作用
The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference
论文作者
论文摘要
能够自我感知的基本过程对于理解多感官整合，身体感知和行动以及自我的发展至关重要。以前的计算模型忽略了一个基本方面：情感或情感成分不能与自我认识过程中脱在一起。因此，在这里，我们提出了一种计算方法来研究自我识别，该方法使用最新的层次层次主动推断融合了影响。我们在一个受镜像自我识别测试启发的合成实验中评估了我们的模型，这是评估动物和人类自我识别的基准。结果表明，i）当代理商认识自己并了解其内部状态的意外情况时，就会产生负价。此外，ii）在存在强烈的负面情感状态的强烈期望的情况下，代理将在预期不希望的学习过程中完全避免镜像。两种结果都符合当前有关人类自我认识的文献。
The underlying processes that enable self-perception are crucial for understanding multisensory integration, body perception and action, and the development of the self. Previous computational models have overlooked an essential aspect: affective or emotional components cannot be uncoupled from the self-recognition process. Hence, here we propose a computational approach to study self-recognition that incorporates affect using state-of-the-art hierarchical active inference. We evaluated our model in a synthetic experiment inspired by the mirror self-recognition test, a benchmark for evaluating self-recognition in animals and humans alike. Results show that i) negative valence arises when the agent recognizes itself and learns something unexpected about its internal states. Furthermore, ii) the agent in the presence of strong prior expectations of a negative affective state will avoid the mirror altogether in anticipation of an undesired learning process. Both results are in line with current literature on human self-recognition.
