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Integrated adaptive resonance theory neural model for episodic memory with task memory for task performance of robots

机译:带有任务记忆的情景记忆与机器人任务性能的集成自适应共振理论神经模型

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Episodic memory is the memory of personal experiences as episodes with subjective time. Task memory is defined as a memory for storing the knowledge of sequential procedures to perform tasks. Rather than encoding and retrieving such a temporal sequence of events or procedures, respectively, it is more efficient to implement both memories into a single memory model together. For this purpose, this paper proposes an integrated adaptive resonance theory (I-ART) neural model for episodic memory with task memory. The performance of the proposed episodic memory model is confirmed through comparison study with the other methods. And the proposed task memory is applied to perform tasks by Mybot-KSR2, developed in RIT Lab., KAIST.
机译:情景记忆是将个人经历作为主观时间的发作而进行的记忆。任务存储器被定义为用于存储执行任务的顺序过程的知识的存储器。与分别对事件或过程的这种时间顺序进行编码和检索相比,将两个存储器一起实现为单个存储器模型更为有效。为此,本文提出了具有任务记忆的情节记忆的集成自适应共振理论(I-ART)神经模型。通过与其他方法的比较研究,证实了所提出的情景记忆模型的性能。拟议的任务存储器由KAIST RIT Lab。开发的Mybot-KSR2应用于执行任务。

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