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Multi-objective multi-agent decision making: a utility-based analysis and survey
The majority of multi-agent system implementations aim to optimise agents' policies with
respect to a single objective, despite the fact that many real-world problem domains are …
respect to a single objective, despite the fact that many real-world problem domains are …
Potential games and interactive decisions with multiple criteria
M Voorneveld - 1999 - research.tilburguniversity.edu
Game theory is a mathematical theory for analyzing strategic interaction between decision
makers. This thesis covers two game-theoretic topics. The first part of this thesis deals with …
makers. This thesis covers two game-theoretic topics. The first part of this thesis deals with …
A utility-based analysis of equilibria in multi-objective normal-form games
In multi-objective multi-agent systems (MOMASs), agents explicitly consider the possible
trade-offs between conflicting objective functions. We argue that compromises between …
trade-offs between conflicting objective functions. We argue that compromises between …
Ideal equilibria in noncooperative multicriteria games
Pareto equilibria in multicriteria games can be computed as the Nash equilibria of scalarized
games, obtained by assigning weights to the separate criteria of a player. To analysts, these …
games, obtained by assigning weights to the separate criteria of a player. To analysts, these …
A dynamic multicriteria game of renewable resource extraction with environmentally concerned players
We introduce a multi-objective discrete-time competitive model of renewable resource
extraction in which the standard economic objective is supplemented with an environmental …
extraction in which the standard economic objective is supplemented with an environmental …
Opponent learning awareness and modelling in multi-objective normal form games
R Rădulescu, T Verstraeten, Y Zhang… - Neural Computing and …, 2021 - Springer
Many real-world multi-agent interactions consider multiple distinct criteria, ie the payoffs are
multi-objective in nature. However, the same multi-objective payoff vector may lead to …
multi-objective in nature. However, the same multi-objective payoff vector may lead to …
[HTML][HTML] Predicting strategic medical choices: An application of a quantal response equilibrium choice model
Quantal response equilibrium choice (QREC) models are structural behavioral models that
account for bounded rationality and strategic interactions in analyses of games where each …
account for bounded rationality and strategic interactions in analyses of games where each …
Dynamic multicriteria games with asymmetric players
AN Rettieva - Journal of Global Optimization, 2022 - Springer
In this paper a new approach to construct cooperative behavior in dynamic multicriteria
games with asymmetric players is presented. To obtain noncooperative and cooperative …
games with asymmetric players is presented. To obtain noncooperative and cooperative …
[PDF][PDF] Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games.
In this paper, we investigate the effects of opponent modelling on multi-objective multi-agent
interactions with non-linear utilities. Specifically, we consider multi-objective normal form …
interactions with non-linear utilities. Specifically, we consider multi-objective normal form …
[HTML][HTML] Long-term implementation of the cooperative solution in a multistage multicriteria game
In order to find an optimal and time consistent cooperative path in multicriteria multistage
game the minimal sum of relative deviations rule is introduced. Using this rule one can …
game the minimal sum of relative deviations rule is introduced. Using this rule one can …