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Panel: Expert systems: How far can they go?

机译:小组:专家系统:他们可以走多远?

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摘要

We arc in the midst of a great wave of enthusiasm about the potential for expert systems in every area of human life and work. There is no agreement, however, as to just how much they can do, and where they will run into fundamental limits. The intent of this panel is to present and discuss some basic questions as to what expert systems can really be expected to do: What is the nature of the problem domains in which expert systems are likely to succeed and those in which they will not? Are there domains in which their use might be dangerous? How will their performance compare with that of human experts in the domain? Are there different facets of expertise that are not amenable to programming? How can human and machine expertise best be combined? To what extent can we count on rule-based systems for 'flexibility' in dealing with unexpected situations? How reliable will such systems be in cases where the programmers (or knowledge engineers) did not anticipate significant possibilities? How can a 'knowledge base* be subjected to standards of accountability? Who is responsible for what an expert system contains and what it does?
机译:我们在巨大的热情中,对人类生命和工作各领域的专家系统潜力的巨大热情。然而,没有达成协议,他们可以做多少,以及他们将遇到基本限制的地方。本面板的目的是展示和讨论一些专家系统可以真正预期的基本问题:问题域的性质是什么,专家系统可能成功的问题以及他们不会的问题?有哪些域名他们的使用可能是危险的?他们的性能如何与域名专家的表现相比?是否有不同的专业方面,不适合编程?如何最佳地合并人类和机器专业知识?我们在多大程度上可以在多大程度上计算在处理意外情况的“灵活性”的基于规则的系统?在程序员(或知识工程师)未预期显着可能性的情况下,此类系统将如何可靠? '知识基础*如何受到问责制的标准?谁负责专家系统包含的内容以及它的作用?

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