AI and memory: Studies towards equipping a robot with a sparse distributed memory

Traditional approaches to Artificial Intelligence (AI) and Robotics seem only to provide advances at a very slow pace. Many researchers agree that new, different approaches are needed to provide a breakthrough and allow the construction of robots with human-like capacities. Our approach consists in...

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Bibliographic Details
Published in:2007 IEEE International Conference on Robotics and Biomimetics pp. 1743 - 1750
Main Authors: Mendes, M., Coimbra, A.P., Crisostomo, M.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2007
Subjects:
Artificial intelligence
Brain modeling
Humanoid robots
Humans
Intelligent robots
Machine intelligence
Mathematical model
Navigation
Neurons
Orbital robotics
robot navigation
sparse distributed memory
view sequence
ISBN:1424417619, 9781424417612
Online Access:Get full text
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Summary:Traditional approaches to Artificial Intelligence (AI) and Robotics seem only to provide advances at a very slow pace. Many researchers agree that new, different approaches are needed to provide a breakthrough and allow the construction of robots with human-like capacities. Our approach consists in navigating a robot using vision a Sparse Distributed Memory (SDM), a kind of associative memory based on the properties of high dimensional binary spaces, which, in theory, exhibits some human-like behaviours. During learning the robot will store sequences of images in the SDM. During execution the robot will follow the sequence of images that is closest to its current view. Preliminary results show that the memory can store and predict sequences of images with a small error tolerance.
ISBN:1424417619
9781424417612
DOI:10.1109/ROBIO.2007.4522429