Objects are a centerpiece of the mathematical realm and our interaction with and reasoning about it, just as they are of the physical one (if not more). And humans' mathematical reasoning must ultimately be grounded in our general intelligence. Yet in contemporary cognitive science and A.I., the physical and mathematical domains are customarily explored separately, which allows for baking in assumptions for what objects are for the system - and missing potential connections. In this paper, I put the issue into its philosophical and cognitive context. I then describe an abstract theoretical framework for learning object representations, that makes room for mathematical objects on par with non-mathematical ones. Finally, I describe a case study that builds on that view to show how our general ability for integrating different aspects of objects effects our conception of the natural numbers.
翻译:物体是数学领域以及我们与其互动和推理的中心,正如它们属于物理领域(如果不是更多的话)一样。人类的数学推理最终必须基于我们的一般智慧。然而,在当代认知科学和A.I.中,物理和数学领域习惯上是分别探索的,这允许在对什么物体是系统对象的假设中进行烘烤 — — 以及缺失的潜在连接。在本文中,我将这个问题放在其哲学和认知背景中。我然后描述一个学习物体表达的抽象理论框架,让数学对象与非数学对象具有同等空间。最后,我描述了一个案例研究,它建立在这种观点上,以显示我们整合物体不同方面的总体能力如何影响我们对自然数字的概念。