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Proceeding Paper

The Logical Relationship of the Concept Discovery and Association Based on the Universal Factor Space †

1
School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China
2
Institute of Intelligent Engineering and Mathematics, Liaoning Technical University, Fuxin 123000, China
*
Author to whom correspondence should be addressed.
Presented at the 2023 Summit of the International Society for the Study of Information (IS4SI 2023), Beijing, China, 14–16 August 2023.
Comput. Sci. Math. Forum 2023, 8(1), 41; https://doi.org/10.3390/cmsf2023008041
Published: 11 August 2023
(This article belongs to the Proceedings of 2023 International Summit on the Study of Information)

Abstract

This paper briefly discusses the basic method that is the concept discovery & association and the Causal-Reasoning of Artificial cognition based on the framework of Universal factor space theory.
Keywords: Universal Factor Space; concept discovery & association; Causal-Reasoning Universal Factor Space; concept discovery & association; Causal-Reasoning

Share and Cite

MDPI and ACS Style

Zhao, J.; Bao, Y. The Logical Relationship of the Concept Discovery and Association Based on the Universal Factor Space. Comput. Sci. Math. Forum 2023, 8, 41. https://doi.org/10.3390/cmsf2023008041

AMA Style

Zhao J, Bao Y. The Logical Relationship of the Concept Discovery and Association Based on the Universal Factor Space. Computer Sciences & Mathematics Forum. 2023; 8(1):41. https://doi.org/10.3390/cmsf2023008041

Chicago/Turabian Style

Zhao, Jing, and Yanke Bao. 2023. "The Logical Relationship of the Concept Discovery and Association Based on the Universal Factor Space" Computer Sciences & Mathematics Forum 8, no. 1: 41. https://doi.org/10.3390/cmsf2023008041

APA Style

Zhao, J., & Bao, Y. (2023). The Logical Relationship of the Concept Discovery and Association Based on the Universal Factor Space. Computer Sciences & Mathematics Forum, 8(1), 41. https://doi.org/10.3390/cmsf2023008041

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