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
Research
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
Research
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
10
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
