"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds
Baogang Hu, Weiming Dong

TL;DR
This paper explores a Chinese philosophical saying adapted for AI, emphasizing understanding through mathematical representations, and discusses its implications for knowledge representation, evaluation objectiveness, and social computing applications.
Contribution
It introduces a novel philosophical perspective on AI grounded in Eastern and Western ideas, proposing a methodology for evaluating objectiveness in multi-attribute assessments.
Findings
Case study supports the saying's applicability in social computing
Meta rules help examine evaluation objectiveness
Discussion of potential issues with the philosophy
Abstract
"Ge She Zhi Zhi" is a novel saying in Chinese, stated as "To investigate things from the underlying principle(s) and to acquire knowledge in the form of mathematical representations". The saying is adopted and modified based on the ideas from the Eastern and Western philosophers. This position paper discusses the saying in the background of artificial intelligence (AI). Some related subjects, such as the ultimate goals of AI and two levels of knowledge representations, are discussed from the perspective of machine learning. A case study on objective evaluations over multi attributes, a typical problem in the filed of social computing, is given to support the saying for wide applications. A methodology of meta rules is proposed for examining the objectiveness of the evaluations. The possible problems of the saying are also presented.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · Topic Modeling · Advanced Text Analysis Techniques
