Short sequences of improvement moves lead to approximate equilibria in constraint satisfaction games
DOI10.1007/s00453-016-0143-xzbMath1409.91010arXiv1402.3450OpenAlexW2162221666MaRDI QIDQ524372
Angelo Fanelli, Ioannis Caragiannis, N. V. Gravin
Publication date: 2 May 2017
Published in: Algorithmica, Algorithmic Game Theory (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1402.3450
algorithmconstraint satisfactionpotential gamesalgorithmic game theoryapproximate equilibriapure Nash equilibriumcomplexity of equilibriaconstraint satisfaction games
Analysis of algorithms and problem complexity (68Q25) Noncooperative games (91A10) Other game-theoretic models (91A40) Software, source code, etc. for problems pertaining to game theory, economics, and finance (91-04)
Related Items (2)
Cites Work
- Unnamed Item
- Convergence and approximation in potential games
- Convergence to approximate Nash equilibria in congestion games
- Theoretical aspects of local search.
- How easy is local search?
- A class of games possessing pure-strategy Nash equilibria
- Circumventing the Price of Anarchy: Leading Dynamics to Good Behavior
- Simple Local Search Problems that are Hard to Solve
- The complexity of pure Nash equilibria
- Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
- On the hardness of global and local approximation
- Approximate Local Search in Combinatorial Optimization
- Integer Linear Programs and Local Search for Max-Cut
- Some optimal inapproximability results
- Efficient Computation of Approximate Pure Nash Equilibria in Congestion Games
This page was built for publication: Short sequences of improvement moves lead to approximate equilibria in constraint satisfaction games