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Abductive Analogical Reasoning

机译:归纳类推推理

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If a knowledge base does not have all of the necessary clauses for reasoning, ordinary hypothetical reasoning sys- tems cannot explain observations. In this case, it is neces- sary to explain such observations by abductive reasoning, supplemental reasoning, or approximate reasoning. The inference in this paper explains the observation by supple- menting missing knowledge with reference to similar knowledge when an observation cannot be explained be- cause necessary knowledge is lacking. However, it is some- what difficult to find clauses to explain an observation without hints. Therefore, an abductive strategy (CMS) is used to find missing clauses. A piece of knowledge which is similar to the missing knowledge is sought in the knowl- edge base and mapped to the knowledge in the same prob- lem domain as the missing knowledge. Then the observation is explained by generated hypotheses similar to the knowledge in the knowledge base.
机译:如果知识库没有推理的所有必要条款,那么普通的假设推理系统将无法解释观察结果。在这种情况下,有必要通过外展推理,补充推理或近似推理来解释这种观察。本文的推论通过在缺乏解释的情况下(因为缺乏必要的知识)通过参考类似的知识补充缺失的知识来解释观察。然而,要找到没有提示来解释观察结果的子句有些困难。因此,使用归纳策略(CMS)查找缺少的子句。在知识库中寻找与缺失知识相似的知识,并将其映射到与缺失知识相同的问题域中的知识。然后,通过类似于知识库中知识的生成假设来解释观察。

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