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CMU-CS-02-191
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-02-191
Solving Hard AI Problems Using Computer Games
Luis von Ahn, M. Ian Graham, Laura Dabbish,
David Kitchin, Lenore Blum
November 2002
CMU-CS-02-191.ps
CMU-CS-02-191.pdf
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Authors
Keywords: Hard AI Problems, games, image classification
Automatically determining the contents of an image is a problem far
from being solved by Arti cial Intelligence (AI) techniques. In this
paper we introduce a simple game that is fun to play and has the
following unique property: when humans play the game, they help
computers determine the contents of images. We present a study
providing evidence that the game is fun. If played by a large number
of people, this game could provide a resource capable of classifying
all images on the World Wide Web. This represents a novel form of
interaction between humans and computers, a symbiosis in which
humans playing the game are entertained and computers running the
game obtain answers to problems they can't solve. Thus, we introduce
a much more general idea: computer games can be used to solve hard
AI problems.
9 pages
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