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The exact computational complexity of evolutionarily stable strategies

Publication ,  Journal Article
Conitzer, V
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
December 1, 2013

While the computational complexity of many game-theoretic solution concepts, notably Nash equilibrium, has now been settled, the question of determining the exact complexity of computing an evolutionarily stable strategy has resisted solution since attention was drawn to it in 2004. In this paper, I settle this question by proving that deciding the existence of an evolutionarily stable strategy is -complete. © 2013 Springer-Verlag.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2013

Volume

8289 LNCS

Start / End Page

96 / 108

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Conitzer, V. (2013). The exact computational complexity of evolutionarily stable strategies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8289 LNCS, 96–108. https://doi.org/10.1007/978-3-642-45046-4_9
Conitzer, V. “The exact computational complexity of evolutionarily stable strategies.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8289 LNCS (December 1, 2013): 96–108. https://doi.org/10.1007/978-3-642-45046-4_9.
Conitzer V. The exact computational complexity of evolutionarily stable strategies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2013 Dec 1;8289 LNCS:96–108.
Conitzer, V. “The exact computational complexity of evolutionarily stable strategies.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8289 LNCS, Dec. 2013, pp. 96–108. Scopus, doi:10.1007/978-3-642-45046-4_9.
Conitzer V. The exact computational complexity of evolutionarily stable strategies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2013 Dec 1;8289 LNCS:96–108.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2013

Volume

8289 LNCS

Start / End Page

96 / 108

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences