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Debugging expert systems using a dynamically created hypertext network

机译:使用动态创建的超文本网络调试专家系统

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摘要

The labor intensive nature of expert system writing and debugging motivated this study. The hypothesis is that a hypertext based debugging tool is easier and faster than one traditional tool, the graphical execution trace. HESDE (Hypertext Expert System Debugging Environment) uses Hypertext nodes and links to represent the objects and their relationships created during the execution of a rule based expert system. HESDE operates transparently on top of the CLIPS (C Language Integrated Production System) rule based system environment and is used during the knowledge base debugging process. During the execution process HESDE builds an execution trace. Use of facts, rules, and their values are automatically stored in a Hypertext network for each execution cycle. After the execution process, the knowledge engineer may access the Hypertext network and browse the network created. The network may be viewed in terms of rules, facts, and values. An experiment was conducted to compare HESDE with a graphical debugging environment. Subjects were given representative tasks. For speed and accuracy, in eight of the eleven tasks given to subjects, HESDE was significantly better.
机译:专家系统编写和调试的劳动密集型性质推动了这项研究。假设是基于超文本的调试工具比一种传统的工具图形执行跟踪更容易,更快捷。 HESDE(超文本专家系统调试环境)使用超文本节点和链接表示在执行基于规则的专家系统期间创建的对象及其关系。 HESDE在基于CLIPS(C语言集成生产系统)规则的系统环境上透明地运行,并在知识库调试过程中使用。在执行过程中,HESDE会建立执行跟踪。在每个执行周期,事实,规则及其值的使用都会自动存储在超文本网络中。执行过程之后,知识工程师可以访问超文本网络并浏览创建的网络。可以根据规则,事实和价值来查看网络。进行了一项实验,以将HESDE与图形调试环境进行比较。给受试者以代表性的任务。在速度和准确性方面,在给受试者的11项任务中有8项,HESDE明显更好。

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