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Network autonomous learning system that allows computers to share learned knowledge such that errors and potential problems are identified and resolved

机译:网络自主学习系统,允许计算机共享所学知识,以便识别和解决错误和潜在问题

摘要

Autonomic learning agent(s) that identify and analyze errors, problems and potential problems, deduces possible solutions from a set of known rules, communicates with other systems on the network for addition information regarding potential solutions, and performs repairs based on the solution information gathered. The system can be used for identifying network-related or inter-computer communication problems that could not otherwise be identified from a single agent system. An exemplary agent includes three (3) major components: a task manager which controls the monitoring of the system or network and triggers alerts when a problem or potential problem is identified; a reason engine which contains the Artificial Intelligence (AI) system used for deducing possible automatable solutions for an identified problem; and a messaging interface which handles communication between agents. The system also reduces the amount of time administrators would spend identifying system or network problems by automating the problem-solving process.
机译:自主学习代理,可识别和分析错误,问题和潜在问题,从一组已知规则中推断出可能的解决方案,与网络上的其他系统通信以获取有关潜在解决方案的附加信息,并根据收集到的解决方案信息进行维修。该系统可用于识别网络相关的问题或计算机间的通信问题,否则这些问题就无法从单个代理系统中识别出来。一个示例性的代理包括三(3)个主要组件:任务管理器,用于控制系统或网络的监视,并在发现问题或潜在问题时触发警报;以及一个推理引擎,其中包含用于推断已识别问题的可能自动化解决方案的人工智能(AI)系统;以及处理代理之间通信的消息传递接口。该系统还通过自动解决问题的过程,减少了管理员花费在识别系统或网络问题上的时间。

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