Exploring the Logical Relationship between Gongsun Longzi's White Horse Theory and AI Deep Learning
Year: 2024
Type: conference-paper
Abstract: The White Horse Theory by Gongsun Long, mentioned in this study, is part of the original work Gongsun Longzi, reproduced from the Ming Dynasty's Daojian edition. The White Horse Theory is Gongsun Long's most famous work, and his proposition that “a white horse is not a horse,” while seemingly absurd at first glance, actually has a reasonable logical foundation when viewed through the lens of logic and mathematics. His logical analysis of the “white horse” and the relationship between “white horse” and “horse” forms the basis of his entire philosophical thought. We will take modern logical theory and practice as our starting point and reference framework for the investigation, extracting logical methods to apply to cognitive models in AI deep learning. The logical relationship between Gongsun Longzi's White Horse Theory and AI is primarily reflected in aspects such as logical foundations and reasoning methods, concept distinction and classification, and epistemological insights. These philosophical ideas provide valuable intellectual resources and methodological guidance for the development of cognitive models in AI. At the same time, as AI continues to evolve, it also needs to continually reflect on and draw from these philosophical ideas to improve its logical and cognitive systems.
Authors: Zhiding Zhang, Zhenwei Zhang
Institution: Guangzhou Academy of Fine Arts
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407775497