1.1 --- a/thesis/abstract.org	Sun Mar 23 19:09:14 2014 -0400
     1.2 +++ b/thesis/abstract.org	Sun Mar 23 22:20:44 2014 -0400
     1.3 @@ -1,12 +1,12 @@
     1.4  Here I demonstrate the power of using embodied artificial intelligence
     1.5  to attack the /action recognition/ problem, which is the challenge of
     1.6  recognizing actions performed by a creature given limited data about
     1.7 -the creature's actions, such as a video recording. I solve this problem
     1.8 -in the case of a worm-like creature performing actions such as curling
     1.9 -and wiggling.
    1.10 +the creature's actions, such as a video recording. I solve this
    1.11 +problem in the case of a worm-like creature performing actions such as
    1.12 +curling and wiggling.
    1.13  
    1.14  To attack the action recognition problem, I developed a computational
    1.15 -model of empathy which allows me to use simple, embodied
    1.16 +model of empathy (=EMPATH=) which allows me to use simple, embodied
    1.17  representations of actions (which require rich sensory data), even
    1.18  when that sensory data is not actually available. The missing sense
    1.19  data is ``imagined'' by the system by combining previous experiences