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Embodied Cognition

This week we publish the tenth and last of the ShanghAI Lectures 2013 Edition on Robohub. We have been releasing  a new lecture from this series on Monday for several weeks and this is the last one. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here. Stay tuned for the 2014 Edition! And more later…on RoboHub!

by   -   March 14, 2014

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The lay notion of how human communication works is, basically, that we exchange packages of information that are encoded and then decoded in our heads using language. But it just takes a little observation to see that this “computer metaphor” just doesn’t apply to the human way of communicating. We can’t reduce communication to a transfer of abstract information, and the same happens to be true of human-machine communication if we expect it to be of any use.

This week we publish the fourth of the ShanghAI Lectures 2013 Edition on Robohub — we will release a new lecture from this series every Monday until the series is complete. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here.

Lecture 4 – Evolution: Cognition from scratch

EvoTimeScales

If you believe that it’s too difficult to develop the mathematical models required to arrive at a new concept of embodied AI and robotics, this lecture will offer you hope. In her talk, Prof. Verena Hafner, from Humboldt University in Berlin, discusses the concept of ‘body maps’ from an embodied intelligence perspective, and shows how they can emerge from sensorimotor flow, through information distances in the data flow and/or an internal simulation.

This week we publish the third of the ShanghAI Lectures 2013 Edition on Robohub — we will release a new lecture from this series every Monday until the series is complete. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here.

Lecture 3 – Cognition and embodiment – Language learning in children and robots: A developmental robotics approach 

This week’s lecture discusses an important problem: how ‘symbols’ and language emerge and are ‘grounded’ from the flow of sensory-motor data. In this lecture, Angelo Cangelosi, Director of the Centre for Robotics and Neural Systems at the University of Plymouth, explains the developmental approach to robotics (and psychology) and offers a remarkable example of ‘synthetic methodology’  for the study of children’s intellectual development.  Cangelosi, who’s original background is in psychology, is a leading researcher in developmental robotics.

by   -   January 21, 2014

ShanghAIGlobeColorThis week we publish the second of the ShanghAI Lectures 2013 Edition on Robohub — we will release a new lecture from this series every Monday until the series is complete. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here.

Lecture 2 – Embodied Intelligence

“Evolution embodies information in every part of every organism. This information doesn’t have to be copied into the brain at all. It doesn’t have to be “represented” in “data structures” in the nervous system. It can be exploited by the nervous system, however, which is designed to rely on, or exploit, the information in the hormonal systems just as it is designed to rely on, or exploit, the information embodied in your limbs and eyes.” – D.Dennett, Kind of Minds, 1996

by   -   January 13, 2014

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This week marks the launch of the ShanghAI Lectures 2013 Edition on Robohub — we will release a new lecture from this series every Monday until the series is complete. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here.

Lecture 1 – Intelligence: Things can be seen differently

If you are not interested in precisely predicting the motion of a handful of ‘anomalous’ stars (nowadays known as planets), then there is no reason to assume that the earth is not sitting at the center of the universe. Ptolemaic astronomy was good astronomy, after all. And if you were an astronomer of the XVI century you may have had good reason to think that ‘solving astronomy’ was simply a matter of adding the ‘right’ epicycles ;-). Many did. Why worry about just five stars that do not model correctly when there are several thousand stars that are perfectly predictable?



Using Natural Language in Human-Robot Collaboration
November 11, 2019


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