系统可靠−失效模型的哲学意义与智能实现

Philosophical significance and implementation of an intelligent system based on the system reliability-failure model

为适应未来无人化、智能化、数据化和信息化的复杂系统,必须建立智能系统以代替人的工作。该智能系统的目标是使功能系统达到预定功能并保持功能稳定,即控制系统可靠与失效状态的转化。因此提出系统可靠−失效模型(system reliability failure model,SRFM),并讨论基于SRFM实现智能系统的方式,论述了系统在哲学层面的相关观点;从哲学角度论述SRFM的意义,包括认识论、矛盾论、系统论和方法论意义。在具有哲学意义基础上,使用信息生态方法论(information ecology methodology,IEM)、因素空间理论(factor space theory,FS)及泛逻辑理论(universal logic theory,UL),并融入空间故障树理论(space fault tree theory,SFT)来智能地实现SRFM。本文是面向未来复杂系统的SRFM研究,是安全科学理论和智能科学研究必须面对的问题,也是必须尽早完成的工作。

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.