Do Capacity Constraints Constrain Coalitions?

Authors: Michal Feldman, Ofir Geri

AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We study strong equilibria in symmetric capacitated costsharing games. Our contribution is two-fold. First, we provide a topological characterization of networks that always admit a strong equilibrium. Second, we establish tight bounds on the efficiency loss that may be incurred due to strategic behavior, as quantified by the strong price of anarchy (and stability) measures. The paper focuses on theoretical analysis, characterization, and establishment of bounds, including theorems and proofs, rather than empirical evaluation or data analysis.
Researcher Affiliation Academia Michal Feldman Tel Aviv University michal.feldman@cs.tau.ac.il Ofir Geri Tel Aviv University ofirgeri@mail.tau.ac.il
Pseudocode Yes Algorithm 1 Compute a SE for a network of parallel edges. Algorithm 2 Choosing the optimal profile s
Open Source Code No The paper does not provide an unambiguous statement or a direct link for accessing the source code for the methodology described.
Open Datasets No This is a theoretical paper and does not involve the use of datasets for training or empirical evaluation. Therefore, no information on public dataset access is relevant or provided.
Dataset Splits No This is a theoretical paper and does not involve empirical evaluation with dataset splits. Therefore, no information on training/validation/test splits is relevant or provided.
Hardware Specification No This is a theoretical paper and does not involve empirical experiments requiring specific hardware. Therefore, no hardware specifications are provided.
Software Dependencies No This is a theoretical paper primarily focused on mathematical and algorithmic analysis, not on software implementation or empirical execution. Therefore, specific software dependencies with version numbers are not mentioned.
Experiment Setup No This is a theoretical paper and does not involve empirical experiments with specific hyperparameters or system-level training settings. Therefore, no experimental setup details are provided.