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The complexity of computing a Nash equilibrium
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Communications of the ACM archive
Volume 52 ,  Issue 2  (February 2009) table of contents
Inspiring Women in Computing
SECTION: Research highlights table of contents
Pages 89-97  
Year of Publication: 2009
ISSN:0001-0782
Authors
Constantinos Daskalakis  UC Berkeley
Paul W. Goldberg  University of Liverpool
Christos H. Papadimitriou  UC Berkeley
Publisher
ACM  New York, NY, USA
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ABSTRACT

How long does it take until economic agents converge to an equilibrium? By studying the complexity of the problem of computing a mixed Nash equilibrium in a game, we provide evidence that there are games in which convergence to such an equilibrium takes prohibitively long. Traditionally, computational problems fall into two classes: those that have a polynomial-time algorithm and those that are NP-hard. However, the concept of NP-hardness cannot be applied to the rare problems where "every instance has a solution"---for example, in the case of games Nash's theorem asserts that every game has a mixed equilibrium (now known as the Nash equilibrium, in honor of that result). We show that finding a Nash equilibrium is complete for a class of problems called PPAD, containing several other known hard problems; all problems in PPAD share the same style of proof that every instance has a solution.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Constantinos Daskalakis: colleagues
Paul W. Goldberg: colleagues
Christos H. Papadimitriou: colleagues