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Automatic language acquisition by an autonomous robot

机译:自主机器人自动获取语言

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摘要

There is no such thing as a disembodied mind. We posit that cognitive development can only occur through interaction with the physical world. To this end, we are developing a robotic platform for the purpose of studying cognition. We suggest that the central component of cognition is a memory which is primarily associative, one where learning occurs as the correlation of events from diverse inputs. We also posit that human-like cognition requires a well-integrated sensory-motor system, to provide these diverse inputs. As implemented in our robot, this system includes binaural hearing, stereo vision, tactile sense, and basic proprioceptive control. On top of these abilities, we are implementing and studying various models of processing, learning and decision making. Our goal is to produce a robot that will learn to carry out simple tasks in response to natural language requests. The robot's understanding of language will be learned concurrently with its other cognitive abilities. We have already developed a robust system and conducted a number or experiments on the way to this goal, some details of which appear in this paper. This is a first progress report of what we believe will be a long term project with significant implications.
机译:没有虚无的心。我们假设认知发展只能通过与物理世界的相互作用而发生。为此,我们正在开发一个用于研究认知的机器人平台。我们认为,认知的主要组成部分是一种主要是联想的记忆,其中学习是来自各种输入的事件之间的关联而发生的。我们还假设,类人认知需要一个完整集成的感觉运动系统来提供这些不同的输入。如在我们的机器人中实施的那样,该系统包括双耳听力,立体视觉,触觉和基本的本体感受控制。除了这些功能,我们正在实施和研究各种处理,学习和决策模型。我们的目标是生产一种机器人,该机器人将学会根据自然语言的要求执行简单的任务。机器人对语言的理解将与其其他认知能力同时学习。我们已经开发了一个健壮的系统,并就实现该目标的方式进行了一些试验,这些试验的一些细节出现在本文中。这是我们认为将是一个具有重大影响的长期项目的第一份进度报告。

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