| 摘要: |
| 如何有效地获取领域专家的知识一直被视为人工智能中的难题．本文的目的在于提出一种关于知识获取的基本观点，并以此观点为基础来研究知识获取问题．这个观点的基本内容是：象波尔的原于模型一样，在专家的知识周围有一些知识层．它们是认识和获取专家知识的突破口或入口．本文将这些知识层看成是知识云，同时将上述观点视作知识云假设．我们将讨论知识云的内涵，研究知识云假设的合理性，最后将阐述知识云这一概念在知识获取中的意义． |
| 关键词: 知识云，知识获取，知识获取基本机器 |
| DOI： |
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| KNOWLEDGE CLOUDS AND KNOWLEDGE ACQUISITION |
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Cao Cungen
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| Abstract: |
| Knowledge acquisition is one of the key problems in artificial intelligence(AI), and it has been attacked from a number of perspectives.This paper introduces a fresh standpoint for knowledge acquisition.The standpoint consists of the belief that,around the knowledge kernel of an expert,there are layers of knowledge clouds,and these clouds are the entry to the recognition of the knowledge kernel of the expert.Based upon this belief,the paper discusses what knowledge clouds are and what roles they play in knowledge acquisition. |
| Key words: Knowledge clouds, knowledge acquisition,knowledge acquisition basic machine. |
