Integrated Adaptive Resonance Theory Neural Model for Episodic Memory with Task Memory for Task Performance of Robots

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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.
Publisher
IEEE Computational Intelligence Society (IEEE CIS)
Issue Date
2016-07-28
Language
English
Citation

2016 IEEE World Congress on Computational Intelligence , pp.4873 - 4880

DOI
10.1109/CEC.2016.7744415
URI
http://hdl.handle.net/10203/215211
Appears in Collection
EE-Conference Papers(학술회의논문)
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