Computational Complexity of Proper Equilibrium
- Kristoffer Arnsfelt Hansen,
- Troels Bjerre Lund
- Aarhus University,
- ,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Abstract
We study the computational complexity of proper equilibrium in finite games and prove the following results. First, for two-player games in strategic form we show that the task of simply verifying the proper equilibrium conditions of a given pure Nash equilibrium is NP-complete. Next, for n -player games in strategic form we show that the task of computing an approximation of a proper equilibrium is FIXPa-complete. Finally, for n -player polymatrix games we show that the task of computing a symbolic proper equilibrium is PPAD-complete.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
EC '18Original language
EnglishPages from-to (Number of pages)
Pages 113-130Publication milestones
- Published - 2018
Publication status
Published - 2018
Publisher
Association for Computing Machinery, United StatesISBN (Print)
978-1-4503-5829-3Publication IDs
- Scopus: 85050152761
Host publication title
Proceedings of the 2018 ACM Conference on Economics and ComputationPublication metrics
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Captures
1
Citation count
9
Access to documents
Final published version, 1.3 MB
Related Event
Title
The nineteenth ACM conference on Economics and Computation (ACM EC’18)
Event type
ConferenceDegree of recognition
International eventDate
18/06/2018 - 22/06/2018Location
Cornell UniversityIthacaUnited States
