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progress on intro.
author Robert McIntyre <rlm@mit.edu>
date Sun, 23 Mar 2014 22:20:44 -0400
parents 853377051f1e
children c20de2267d39
comparison
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436:853377051f1e 437:c1e6b7221b2f
1 Here I demonstrate the power of using embodied artificial intelligence 1 Here I demonstrate the power of using embodied artificial intelligence
2 to attack the /action recognition/ problem, which is the challenge of 2 to attack the /action recognition/ problem, which is the challenge of
3 recognizing actions performed by a creature given limited data about 3 recognizing actions performed by a creature given limited data about
4 the creature's actions, such as a video recording. I solve this problem 4 the creature's actions, such as a video recording. I solve this
5 in the case of a worm-like creature performing actions such as curling 5 problem in the case of a worm-like creature performing actions such as
6 and wiggling. 6 curling and wiggling.
7 7
8 To attack the action recognition problem, I developed a computational 8 To attack the action recognition problem, I developed a computational
9 model of empathy which allows me to use simple, embodied 9 model of empathy (=EMPATH=) which allows me to use simple, embodied
10 representations of actions (which require rich sensory data), even 10 representations of actions (which require rich sensory data), even
11 when that sensory data is not actually available. The missing sense 11 when that sensory data is not actually available. The missing sense
12 data is ``imagined'' by the system by combining previous experiences 12 data is ``imagined'' by the system by combining previous experiences
13 gained from unsupervised free play. 13 gained from unsupervised free play.
14 14