Biased Games
Authors: Ioannis Caragiannis, David Kurokawa, Ariel Procaccia
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we are interested in a fundamentally different way in which a player s mixed strategy can directly affect his utility. Specifically, the player may be biased towards (or away from) a specific base strategy, so his utility may also depend on the distance between his mixed strategy and the base strategy.In 3 we prove our main result: the existence of equilibria in biased games. Specifically, we show that an equilibrium always exists if each fi is a non-decreasing continuous convex function, and the norms are all Lp norms.In 4 we make some progress on the computation of equilibria in biased games, by (significantly) generalizing a basic algorithm for Nash equilibrium computation. |
| Researcher Affiliation | Academia | Ioannis Caragiannis University of Patras caragian@ceid.upatras.gr David Kurokawa Carnegie Mellon University dkurokaw@cs.cmu.edu Ariel D. Procaccia Carnegie Mellon University arielpro@cs.cmu.edu |
| Pseudocode | No | The paper discusses algorithmic approaches but does not provide pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statement or link regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | This paper is theoretical and does not use or reference any publicly available or open datasets for training. |
| Dataset Splits | No | This paper is theoretical and does not involve the use of datasets with training, validation, or test splits. |
| Hardware Specification | No | This paper is theoretical and does not describe computational experiments that would require specific hardware details. |
| Software Dependencies | No | This paper is theoretical and does not describe computational experiments that would require specific software dependencies with version numbers. |
| Experiment Setup | No | This paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations. |