A Comparative Study of Artificial Intelligence Models and Human Hippocampus

DOI

10.2991/assehr.k.220504.351How to use a DOI?

Keywords

Bayesian assumptions; neural networks; cognitive maps; spatial cells

Abstract

In the daily life of human beings, the frequency of use of robots is increasing year by year, which puts higher requirements on the capabilities of robots. How to accurately achieve navigation for predetermined goals is the biggest challenge at present. This paper focuses on several popular calculation models, by comparing the model with the physiological research related to spatial positioning and navigation in the hippocampus, we can judge whether the model design conforms to the physiological basis and is consistent with the behavior produced by human psychology to some extent. It can be concluded that if robots want to obtain higher intelligence and make more complex decisions, intelligent robots need to learn independently and cognitive memory of the current environment, which requires the study of physiological cognitive model and the comprehensive study of human brain cognitive model and hippocampus to form a set of comprehensive cognitive mechanism and computational model.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Xi Yu
PY  - 2022
DA  - 2022/06/01
TI  - A Comparative Study of Artificial Intelligence Models and Human Hippocampus
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 1943
EP  - 1947
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.351
DO  - 10.2991/assehr.k.220504.351
ID  - Yu2022
ER  -