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

很长一段时间以来，人们都知道隐喻和类比可以重新描述一个物体，从而创造出新的视角。然而，这一现象在认知科学和人工智能研究中尚未得到适当的解决。先前的工作已经确定并描述了这种重新描述的过程，这是隐喻和类比的创造性实例的基础。本工作将实现一个比例类比域的重描述计算模型。在这个框架中，对象被视为有限生成代数的元素，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方式。通常，一个对象可以以多种方式生成，因此有许多描述。在设计模型时，问题是找到有效的算法和启发式方法，选择合适的对象描述，使类比关系易于理解。

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.