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Expertise transfer and complex problems: Using Aquinas as a knowledge-acquisition workbench for knowledge-based systems

机译:专业知识转移和复杂问题:将Aquinas用作基于知识的系统的知识获取工作台

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摘要

Acquiring knowledge from a human expert is a major problem when building a knowledge-based system. Aquinas, an expanded version of the Expertise Transfer System (ETS), is a knowledge-acquisition workbench that combines ideas from psychology and knowledge-based systems research to support knowledge-acquisition tasks. These tasks include eliciting distinctions, decomposing problems, combining uncertain information, incremental testing, integration of data types, automatic expansion and refinement of the knowledge base, use of multiple sources of knowledge and providing process guidance. Aquinas interviews experts and helps them analyze, test, and refine the knowledge base. Expertise from multiple experts or other knowledge sources can be represented and used separately or combined. Results from user consultations are derived from information propagated through hierarchies. Aquinas delivers knowledge by creating knowledge bases for several different expert-system shells. Help is given to the expert by a dialog manager that embodies knowledge-acquisition heuristics. Aquinas contains many techniques and tools for knowledge acquisition; the techniques combine to make it a powerful testbed for rapidly prototyping portions of many kinds of complex knowledge-based systems.
机译:在构建基于知识的系统时,从人类专家那里获取知识是一个主要问题。 Aquinas是专业知识转移系统(ETS)的扩展版本,是一个知识获取工作台,它将心理学和基于知识的系统研究的思想相结合以支持知识获取任务。这些任务包括区分,分解问题,合并不确定的信息,增量测试,数据类型集成,自动扩展和完善知识库,使用多种知识来源并提供过程指导。 Aquinas采访专家,并帮助他们分析,测试和完善知识库。可以表示或组合使用来自多个专家或其他知识来源的专业知识。用户咨询的结果来自通过层次结构传播的信息。 Aquinas通过为几种不同的专家系统外壳创建知识库来提供知识。体现知识获取启发式方法的对话管理器会向专家提供帮助。 Aquinas包含许多知识获取的技术和工具。这些技术相结合,使其成为强大的测试平台,可以快速原型化许多复杂的基于知识的系统的各个部分。

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