Independent scholar. My research develops a unified meta-epistemological framework of human cognition, grounded in the classical Chinese concept of quxiang bilei (取象比类, image-based analogical reasoning) and integrated with modern Bayesian inference. This framework offers a novel solution to Hume’s problem of induction, reconsiders the nature of causality, and provides a foundational model for understanding scientific discovery and artificial intelligence cognition. I also investigate the historical and grammatical conditions underlying the concept of wisdom. My current work aims to bridge mainstream metaphysics with real-world scientific prac…
Independent scholar. My research develops a unified meta-epistemological framework of human cognition, grounded in the classical Chinese concept of quxiang bilei (取象比类, image-based analogical reasoning) and integrated with modern Bayesian inference. This framework offers a novel solution to Hume’s problem of induction, reconsiders the nature of causality, and provides a foundational model for understanding scientific discovery and artificial intelligence cognition. I also investigate the historical and grammatical conditions underlying the concept of wisdom. My current work aims to bridge mainstream metaphysics with real-world scientific practice through a cognitive-philosophical reconstruction of knowledge.
Selected preprints (all available on Zenodo):
Image Abstraction and Analogical Correlation as a Meta-Epistemological Structure
Image Abstraction and Bayesian Inference
The Law of Causality as Limit Convergence
The History of the Definition of “Wisdom“
