Hippocampal formation-inspired probabilistic generative model
In building artificial intelligence (AI) agents, referring to how brains function in real environments can accelerate development by reducing the design space. In this study, we propose a probabilistic generative model (PGM) for navigation in uncertain environments by integrating the neuroscientific...
Main Authors: | Fukawa, A. (Author), Taniguchi, A. (Author), Yamakawa, H. (Author) |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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