Fu Jianjing, Hsiao Ching-An
College of Media Engineering, Communication University of Zhejiang, Hangzhou, China.
Fintech Engineering Technology Research Center, Guangdong University of Finance, Guangzhou, China.
Sci Rep. 2024 May 31;14(1):12525. doi: 10.1038/s41598-024-62906-2.
Humans use pictures to model the world. The structure of a picture maps to mind space to form a concept. When an internal structure matches the corresponding external structure, an observation functions. Whether effective or not, the observation is self-consistent. In epistemology, people often differ from each other in terms of whether a concept is probabilistic or certain. Based on the effect of the presented IG and pull anti algorithm, we attempt to provide a comprehensive answer to this problem. Using the characters of hidden structures, we explain the difference between the macro and micro levels and the same difference between semantics and probability. In addition, the importance of attention is highlighted through the combination of symmetry and asymmetry included and the mechanism of chaos and collapse revealed in the presented model. Because the subject is involved in the expression of the object, representationalism is not complete. However, people undoubtedly reach a consensus based on the objectivity of the representation. Finally, we suggest that emotions could be used to regulate cognition.
人类用图片来构建世界模型。图片的结构映射到思维空间以形成概念。当内部结构与相应的外部结构匹配时，观察就起作用了。无论观察是否有效，它都是自洽的。在认识论中，人们在一个概念是概率性的还是确定性的这一点上常常存在差异。基于所呈现的IG和拉反算法的效果，我们试图为这个问题提供一个全面的答案。利用隐藏结构的特征，我们解释了宏观和微观层面的差异以及语义和概率之间的相同差异。此外，通过所呈现模型中包含的对称与不对称的结合以及揭示的混沌和崩溃机制，突出了注意力的重要性。由于主体参与了客体的表达，表象主义并不完善。然而，人们无疑基于表象的客观性达成了共识。最后，我们建议情绪可用于调节认知。
