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Computing equilibria with partial commitment

Publication ,  Conference
Conitzer, V
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2016

In security games, the solution concept commonly used is that of a Stackelberg equilibrium where the defender gets to commit to a mixed strategy. The motivation for this is that the attacker can repeatedly observe the defender’s actions and learn her distribution over actions, before acting himself. If the actions were not observable, Nash (or perhaps correlated) equilibrium would arguably be a more natural solution concept. But what if some, but not all, aspects of the defender’s actions are observable? In this paper, we introduce solution concepts corresponding to this case, both with and without correlation. We study their basic properties, whether these solutions can be efficiently computed, and the impact of additional observability on the utility obtained.

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

ISBN

9783662541098

Publication Date

January 1, 2016

Volume

10123 LNCS

Start / End Page

1 / 14

Related Subject Headings

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

Citation

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Conitzer, V. (2016). Computing equilibria with partial commitment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10123 LNCS, pp. 1–14). https://doi.org/10.1007/978-3-662-54110-4_1
Conitzer, V. “Computing equilibria with partial commitment.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10123 LNCS:1–14, 2016. https://doi.org/10.1007/978-3-662-54110-4_1.
Conitzer V. Computing equilibria with partial commitment. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. p. 1–14.
Conitzer, V. “Computing equilibria with partial commitment.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10123 LNCS, 2016, pp. 1–14. Scopus, doi:10.1007/978-3-662-54110-4_1.
Conitzer V. Computing equilibria with partial commitment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. p. 1–14.
Journal cover image

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

ISBN

9783662541098

Publication Date

January 1, 2016

Volume

10123 LNCS

Start / End Page

1 / 14

Related Subject Headings

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