协作知识系统中的高级推理

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence Pub Date : 1990-11-06 DOI:10.1109/TAI.1990.130338

Fangqing Zhang, Da-you Liu, Rikun Tang

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引用次数: 1

摘要

讨论了协作知识系统中的高级推理问题，提出了一种有效的高级推理方法——多维论证法。这种高级推理方法在低级推理结果的基础上，利用相互评价信息、自我评价信息、外部知识和信息、依赖值等多种信息，提高整个协作系统结果的准确性。本文还介绍了参数系统PAT-1的开发过程，PAT-1是dai工具HEDMUKCS的一个子系统。

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High-level reasoning in cooperative knowledge system

The authors discuss high-level reasoning in a cooperative knowledge system and provide an effective high-level reasoning method, i.e. the multidimensional argument method. Based on the results of low-level reasoning this method of high-level reasoning can improve the accuracy of the whole cooperative system's results by using various kinds of information, such as mutual-evaluation information, self-evaluation, external knowledge and information, and dependence value. The authors also describe the development of the argument system PAT-1 which is a subsystem of DAI-tools HEDMUKCS.<>

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[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence

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