Modeling the 'Redescription' Process in the Context of Proportional Analogies

人们很久以前就知道，隐喻和类比可以重新描述一个对象，从而为它创造新的视角。然而，这一现象在认知科学和人工智能研究中尚未得到妥善解决。以前的工作已经确定并描述了这个重新描述的过程，这个过程是隐喻和类比的创造性实例的基础。这项工作将在比例类比领域实现一个重新描述的计算模型。在该框架中，对象被视为有限生成的代数的元素，对象的描述被定义为通过应用适当的运算符从其他对象生成该对象的任何可能的方式。通常，对象可以以多种方式生成，因此具有许多描述。因此，在设计模型时，问题是找到有效的算法和启发式算法，选择对对象的适当描述，以便类比关系是可理解的。

It has been known for quite some time that metaphors and analogies can redescribe an object, thereby creating new perspectives on it. However, this phenomenon has not yet been properly addressed in cognitive science and AI research. Previous work has identified and characterized this process of redescription that underlies creative instances of metaphor and analogy. This work will implement a computational model of resdescription in the proportional analogy domain. In this framework, an object is seen as an element of a finitely generated algebra, and a "description of the object is defined to be any possible way in which that object can be generated from other objects by applying appropriate operators. Typically, an object can be generated in many ways and, consequently, has many descriptions. In designing the model, the problem then, is to find efficient algorithms and heuristics which select appropriate descriptions of the objects so that the analogy relation is comprehensible.