人工智能系统故障分析原理研究

为研究未来系统在人工智能控制下的系统故障预测、预防、控制和恢复能力，提出一种基于信息生态方法论的人工智能系统故障分析方法。将研究对象划分为人、功能、自然和智能系统；以智能系统为核心，研究故障信息、知识和智能安全生成原理；论述了基础故障意识、情感和理智的特点。研究表明，系统故障的人工智能分析必须采用信息生态方法论结合安全科学理论进行。分析原理是基于信息生态方法论，考虑基础故障意识、情感与理智，及即时故障语义信息进行的综合决策与反应，以确保系统在规定条件下完成预定功能。

Research on system fault analysis principle based on artificial intelligence system

To study the ability of system fault prediction, prevention, control, and recovery under the control of artificial intelligence, an artificial intelligence system fault analysis method based on information ecology methodology is proposed. The research object is divided into human beings, function, nature, and intelligent system. Taking the intelligent system as the core, the fault information, knowledge, and intelligent safety generation principle are studied. In addition, the characteristics of basic fault consciousness, emotion, and reason are discussed. Results show that the artificial intelligence system fault analysis method must adopt the information ecology methodology in combination with safety science theory. The analysis principle is based on the information ecology methodology, considering the comprehensive decision and response of basic fault consciousness, emotion and reason, and real-time fault semantic information, to ensure that the system can complete the predetermined function under the specified conditions.