NSF Young Investigator

该项目的目的是弥合当前机器人代理的交互能力与人类认知能力之间的差距，这一直是人工智能研究的目标。其基本论点是身具化本身既使我们的认知能力得以实现，也限制了我们的认知能力。通过与想象刺激的相互作用，我们重新使用具体的机械来完成抽象的任务。作为一个社会，我们同意根据我们的经验来解释任意的信号，我们发展了符号语言。我们理解音乐、隐喻，甚至数学，都是基于它们与我们身体体验的关系。本项目以本论文为基础，进一步探索复杂的、象征性的和抽象的认知形式是如何建立在我们的具体化经验之上的。

The purpose of this project is to bridge the gap between the interactive capacities of current robotic agents and human-like cognitive abilities that have long been the aim of artificial intelligence research. The basic thesis is the concept that embodiment itself both enables and constraints our cognitive capacities. Through interaction with imagined stimuli we reuse concrete machinery for abstract tasks. By agreeing as a society to interpret arbitrary signals in terms of our experiences, we develop symbolic language. We understand music, metaphor, and even mathematics by virtue of their relationships to our physical experiences. This project utilizes this thesis as a foundation and further explores the ways in which sophisticated, symbolic, and abstract forms of cognition are built on our embodied experiences.