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@COMMENT This file came from Gal A. Kaminka's publication pages at
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@InProceedings{aamas13challenge,
author = {Gal A. Kaminka},
title = {Curing Robot Autism: A Challenge},
booktitle = AAMAS-13,
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year = {2013},
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abstract = {
Almost all robots are autistic; very few humans are. Out of the box, robots generally do not behave correctly in
social settings (involving humans, or other agents). Most researchers treat this challenge \textit{behaviorally}, by
superficially tacking task- and domain- specific social behavior onto functioning individual robots. These rules
are built once, and applied once. In contrast, I posit that we can build better socially-capable robots by relying
on general social intelligence building blocks, built into the brains of robots, rather than grafted on per mission:
\textit{built once, applied everywhere}. I challenge the autonomous agents community to synthesize the computational
building blocks underlying social intelligence, and to apply them in concrete robot and agent systems. I argue that
our field is in a unique position to do this, in that our community intersects with computer science, behavioral and
social sciences, robotics, and neuro-science. Thus we can bring to bear a breadth of knowledge and understanding
which cannot be matched in other related fields. To lend credibility for our ability to carry out this challenge, I
will demonstrate that we have carried out similar tasks in the past (though at a smaller scale). I conclude with a sample of some open questions for research, raised by this challenge.
},
wwwnote = {{\bf Winner: Best challenge paper award.}},
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}