Connectionists: AI at 50, AI at 70 and towards continual embodied learning

[Stefan Wermter]

Dear all

I enjoyed our discussion on AI at 50 and beyond. Lots of exciting progress 
on neural and hybrid neural symbolic research since AI at 50, AI at 70 and now 
going beyond. In the future, embodied neural intelligence based 
on continual developmental learning may play an even more central role 
since the body and mind are highly integrated in humans right from the 
beginning.

New paper in this context from last week

"Robot in a crib: How a playing robot helps us understand sensorimotor 
contingency learning" just published in Science Robotics.

Authors: Josua Spisak, Sergiu T. Popescu, Lukáš Rustler, Stefan Wermter, 
J. Kevin O'Regan, Matej Hoffmann


Nutshell: an iCub lying on its back in a crib learns to interact with 
its environment biologically inspired by infants. Our embodied model 
learns through a balanced trade-off between curiosity and prediction and 
manages to adjust its behavior towards specific conditions. We found 
that the emergent strategies do not only rely on a single metric such as 
activity, but  complex and dynamic strategies emerge that make use of 
spatial positions, environmental dynamics, and specific movements.

Limited full-text access link:

https://www.science.org/eprint/KJ3AVYAICKSA5C83NVZR/full?activationRedirect=/doi/full/10.1126/scirobotics.aed4106 
<https://www.science.org/eprint/KJ3AVYAICKSA5C83NVZR/full?activationRedirect=/doi/full/10.1126/scirobotics.aed4106>

best

Stefan

-- 

*Professor Dr. Stefan Wermter*
Director of Knowledge Technology
Department of Informatics
University of Hamburg
Bundesstrasse 56b
20146 Hamburg, Germany

stefan.wermter at uni-hamburg.de <mailto:stefan.wermter at uni-hamburg.de>
http://www.informatik.uni-hamburg.de/WTM/

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