Autonomous discovery of abstract concepts by a robot
author: Ivan Bratko,
Faculty of Computer and Information Science, University of Ljubljana
published: May 3, 2011, recorded: April 2011, views: 3391
published: May 3, 2011, recorded: April 2011, views: 3391
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Reviews and comments:
The system learns in a very small and controlled environment (the world of cubes).
How would the system (the program) behave in a real environment. For example: Let's say we attach the program to the control system of a chemical plant of some kind. Let's also say it has access to maintenance information as well. Given the above how much processing power would be needed so the system could learn to run the plant by itself and to know what to do in what situation? How long it has to observe and analyse what happens before it would be able to make the correct maintenance and control decisions by itself?
I have some issues with the approach in this lecture but my main concerns are related to scalability and combinatorial explosion. Would be nice if they were also addressed.
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