[1]CUI Tiejun,LI Shasha.Philosophical significance and implementation of an intelligent system based on the system reliability-failure model[J].CAAI Transactions on Intelligent Systems,2020,15(6):1104-1112.[doi:10.11992/tis.202003047]
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Philosophical significance and implementation of an intelligent system based on the system reliability-failure model

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 15 Number of periods: 2020 6 Page number: 1104-1112 Column: 学术论文—人工智能基础 Public date: 2020-11-05
Title:
Philosophical significance and implementation of an intelligent system based on the system reliability-failure model
Author(s):
CUI Tiejun1;  LI Shasha2
1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
2. School of Business Administration, Liaoning Technical University, Huludao 125105, China
Keywords:
safety science; intelligent science; information science; system engineering; reliability and failure; model research; philosophical significance; intelligent realization
CLC:
TP18;X913;C931.1
DOI:
10.11992/tis.202003047
Abstract:
To adapt to unmanned, intelligent, data-and information-based future complex systems, it is necessary to establish an intelligent system that is capable of replacing human work. The goal of this intelligent system should be to generate a functional system that realizes predetermined functions and keeps the functions stable, i.e., to control the transformation of system reliability and failure state. Therefore, in this paper, we propose a system reliability–failure model (SRFM) and discuss the implementation of an SRFM-based intelligent system. We also discuss viewpoints related to the philosophical dimensions of the system and philosophical significance of the SRFM with respect to epistemology, contradiction theory, system theory, and methodology. Based on this philosophical significance, we designed an SRFM-based intelligent system using the information ecology methodology, factor space theory, and universal logic theory integrated with the space fault tree theory. Regarding research on SRFMs for future complex systems, we consider that the problems associated with safety science theory and intelligent science research must be immediately addressed.
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