Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition

Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition

Simultaneous localization and mapping (SLAM) represents a fundamental problem for autonomous embodied systems, for which the hippocampal/entorhinal system (H/E-S) has been optimized over the course of evolution. We have developed a biologically-inspired SLAM architecture based on latent variable gen...

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Bibliographic Details
Main Authors: Adam Safron, Ozan Çatal, Tim Verbelen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Systems Neuroscience
Subjects:
SLAM
free energy principle
active inference
hippocampal and entorhinal systems
hierarchical generative models
robotics
Online Access:https://www.frontiersin.org/articles/10.3389/fnsys.2022.787659/full

Internet

https://www.frontiersin.org/articles/10.3389/fnsys.2022.787659/full

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