|   | 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.psCMU-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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