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Two-sided hypotheses generation for abductive analogical reasoning

机译:归纳类推推理的双向假设生成

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In general, if a knowledge base lacks the necessary knowledge, abductive reasoning cannot explain an observation. Therefore, it is necessary to generate missing hypotheses. CMS can generate missing hypotheses, but it can only generate short-cut hypotheses or hypotheses that will not be placed on real leaves. That is, the inference path is incomplete (truncated), so that abduction is not complete. The inference proposed tries to generate missing hypotheses that are placed on the middle of the inference path by both abductive inference and deductive inference using analogical mapping. As a result, the inference can generate missing hypotheses even on the middle of the inference path.
机译:通常,如果知识库缺乏必要的知识,则归纳推理不能解释观察结果。因此,有必要产生缺失的假设。 CMS可以生成缺失的假设,但只能生成快捷假设或不会放置在真实叶子上的假设。也就是说,推理路径不完整(被截断),因此绑架不完整。提出的推论试图通过使用类比映射的归纳推论和演绎推论来生成置于推论路径中间的缺失假设。结果,即使在推理路径的中间,推理也可能会产生缺失的假设。

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