机器人认知系统的表意符号表示

M. Rodríguez-Moreno, A. Stoica
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引用次数: 0

摘要

认知心理学一直致力于理解人类如何思考和解决问题。作为类比,机器人系统已经利用这项研究,试图使机器人模仿认知模型更“智能”。事物是如何在心理结构中被感知和转化的,以及它们是如何被保留的,这仍然是一个悬而未决的问题,尽管已经取得了很多进展。例如,一些研究表明,使用图表比其他基于文本或单词的方法更好地保留了记忆中的概念,并且使关于它们的推理更容易。在这个方向上,我们想为机器人系统与人类合作提出一个表意符号表示,这可以帮助在感知符号的确定和推理中的操作之间提供一个自然的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ideograms Representation for Cognitive Systems in Robotics
The cognitive psychology has focused on understanding how humans think and solve problems. As analogy, the robotics systems have used this research to try to make robots more "intelligent" imitating cognitive models. How things are perceived and transformed in mental structures, and how they are retained, is still an open question, although a lot of progress has been done. For example, some studies have demonstrated that the use of diagrams retains concepts in memory better than other approaches based on text or words, and making the reasoning about them easier. In this direction, we want to propose an ideogram representation for robotic systems in cooperation with humans that can help to provide a natural link between the determination of perceptive symbols and their manipulation in reasoning.
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