Fair, Individually Rational and Cheap Adjustment

Authors: Gleb Polevoy, Marcin DziubiƄski

IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We now design fair, individually rational and implementable adjustments to pre-Bayesian games. In this section, the planner possesses complete knowledge of the realised types. Assuming complete information in this section simplifies the definitions as follows. Consider a normal-form game N, (Ai)i N, (ui)i N , where any player i N = {1, . . . , n} has the action set Ai and her utility is ui : A R, where A = Qn i=1 Ai. Here, action and strategy coincide. An action ai of i is strictly dominant if that action is strictly preferable to i, regardless of the others actions. Formally, ui(ai, b i) > ui(a i, b i), a i Ai \ {ai} , b i A i. Slightly abusing notation, we call a A strictly dominant if ai is strictly dominant, for each i N. The notions of adjustment, implementability, fairness and individual rationality remain unchanged. We obtain the following constructive result. We consider 2 players in the body of the paper; the general case is omitted for lack of space.
Researcher Affiliation Academia Gleb Polevoy1 , Marcin Dziubi nski2 1Paderborn University 2University of Warsaw gpolevoy@mail.uni-paderborn.de, m.dziubinski@mimuw.edu.pl
Pseudocode Yes Figure 1: The adjustment for 2 players: we subsidise the player who plays the desired profile and fine the unique deviator.
Open Source Code No The paper does not contain any statements about releasing source code or links to repositories.
Open Datasets No The paper is theoretical and does not use any datasets.
Dataset Splits No The paper is theoretical and does not involve dataset splits.
Hardware Specification No The paper is theoretical and does not describe any hardware used for experiments.
Software Dependencies No The paper is theoretical and does not mention any software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe any experimental setup or hyperparameters.