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时间认知:智能系统的关键要素。

Temporal cognition: a key ingredient of intelligent systems.

机构信息

Computational Vision and Robotics Laboratory, Institute of Computer Science, Foundation for Research and Technology Hellas Heraklion, Crete, Greece.

出版信息

Front Neurorobot. 2011 Sep 19;5:2. doi: 10.3389/fnbot.2011.00002. eCollection 2011.

Abstract

Experiencing the flow of time is an important capacity of biological systems that is involved in many ways in the daily activities of humans and animals. However, in the field of robotics, the key role of time in cognition is not adequately considered in contemporary research, with artificial agents focusing mainly on the spatial extent of sensory information, almost always neglecting its temporal dimension. This fact significantly obstructs the development of high-level robotic cognitive skills, as well as the autonomous and seamless operation of artificial agents in human environments. Taking inspiration from biological cognition, the present work puts forward time perception as a vital capacity of artificial intelligent systems and contemplates the research path for incorporating temporal cognition in the repertoire of robotic skills.

摘要

体验时间的流动是生物系统的一项重要能力,它在人类和动物的日常活动中以多种方式发挥作用。然而,在机器人学领域,当代研究并没有充分考虑时间在认知中的关键作用,人工智能主要关注感官信息的空间范围,几乎总是忽略其时间维度。这一事实极大地阻碍了高级机器人认知技能的发展,以及人工智能在人类环境中自主和无缝运行的能力。本研究从生物认知中获得灵感,提出时间感知是人工智能系统的一项重要能力,并思考了将时间认知纳入机器人技能组合中的研究途径。

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