Distance-Based Equilibria in Normal-Form Games

Authors: Erman Acar, Reshef Meir1750-1757

AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We propose a simple uncertainty modification for the agent model in normal-form games; at any given strategy profile, the agent can access only a set of possible profiles that are within a certain distance from the actual action profile. We investigate the various instantiations in which the agent chooses her strategy using well-known rationales e.g., considering the worst case, or trying to minimize the regret, to cope with such uncertainty. Any such modification in the behavioral model naturally induces a corresponding notion of equilibrium; a distance-based equilibrium. We characterize the relationships between the various equilibria, and also their connections to well-known existing solution concepts such as Trembling-hand perfection. Furthermore, we deliver existence results, and show that for some class of games, such solution concepts can actually lead to better outcomes.
Researcher Affiliation Academia Erman Acar Vrije Universiteit Amsterdam Amsterdam, The Netherlands erman.acar@vu.nl Reshef Meir Technion Israel Institute of Technology Haifa, Israel reshefm@ie.technion.ac.il
Pseudocode No The paper contains definitions, theorems, propositions, and discussions, but no structured pseudocode or algorithm blocks are provided.
Open Source Code No The paper does not contain any explicit statements about releasing source code or links to a code repository for the described methodology.
Open Datasets No The paper is theoretical and analyzes game theory concepts; it does not use or reference any publicly available datasets for training.
Dataset Splits No The paper is theoretical and focuses on equilibrium concepts and proofs; it does not describe dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not report on empirical experiments; thus, no hardware specifications are mentioned.
Software Dependencies No The paper is theoretical and does not specify any software dependencies with version numbers.
Experiment Setup No The paper is theoretical and focuses on defining and analyzing equilibrium concepts; it does not include details about an experimental setup, hyperparameters, or training configurations.