Behavior-oriented Acquisition of Semantic Concepts

这项研究考察了人类思维中的机制，这些机制涉及从通过学习物体或事件的例子而获得的不相关的死记硬背的知识转变为一个灵活的概念系统，通过这个系统，我们可以将没有经历过的东西想象为例子的重组。尽管许多研究人员认为，构成符号概念应该是基于感觉运动的，但这是如何实现的仍不清楚。本研究从建构主义的角度重新审视“结构结盟”假说，填补了这一空白。提出的子符号学习模型基于给定的机器人行为模式的感觉运动相似性，发出行为概念的“结构对齐”，并可以根据已知模式的重组来识别和重新生成以前未见过的行为模式。

This study examines the mechanisms in the human mind that are involved in the shift from unrelated rote knowledge acquired by learning examples of objects or events into a flexible conceptual system by which we can conceive something not experienced as a recombination of the examples. Although many researchers have suggested that compositional symbolic concepts should be sensorimotor grounded, how this may be accomplished remains unclear. This study bridges the gap by reconsidering “structural alignment" hypothesis from a constructivist view. Proposed sub-symbolic learning model emits “structural alignment" of behavioral concepts based on given sensorimotor similarity of robot's behavioral patterns and can recognize and re-generate previously unseen behavioral patterns in terms of the recombination of known patterns.