人工智能领域类比推理的逻辑研究

Research on the Logic of Analogical Reasoning in Artificial Intelligence

类比是根据两类对象的某些相同属性推出它们的其他相同属性的推理方式,在人工智能领域有着广泛应用。据此,文章针对人工智能领域的结构映射模型、受限满足模型、结构模型、关联模型等四种基础的类比推理模型进行系统分析,比较了四种模型的优势和不足,并揭示了其背后复杂的认知机制和结构过程。通过分析认为:人工智能领域类比推理的逻辑研究对逻辑学、计算机科学等认知相关领域的发展具有重要意义。

Analogy is a way of reasoning that introduces some identical properties of two types of objects based on some of their identical properties,which is widely employed in artificial intelligence.Accordingly,the article conducts a systematic analysis of four basic models of analogical reasoning,including structural mapping,restricted satisfaction,structural,and association models.By comparing the merits and drawbacks of the four models,the complex cognitive mechanisms and structural processes behind them are revealed.To this end,it is concluded that the research of analogical reasoning is of great significance to the development of related fields of logic,cognitive science and computer science.