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Area Engineering
Control of Game-Theoretic Dynamics in Population Games
keywords CONTROL, CONTROL SYSTEMS, EQUILIBRIUM STABILITY, GAME THEORY, OPTIMIZATION
Reference persons ALESSANDRO RIZZO, LORENZO ZINO
Description Controlling evolutionary game-theoretic dynamics is a problem of paramount importance, with several applications spanning from social sciences to ecological and engineering fields.
In this thesis, we focus on the problem of controlling a population game, toward steering such a population to a specified equilibrium that represents a desired collective behavior. For example, to promote cooperation in the prisoner's dilemma.
In our research group, we proposed a family of controllers to achieve our goal. The objective of this thesis is to investigate the performance of such class and optimize them using tools from the theory of dynamics on networks, optimization, and control
For some details on population games, see:
- Lorenzo Zino, Giacomo Como, Fabio Fagnani, On imitation dynamics in potential population games (available at https://arxiv.org/abs/1709.04748)
- Hofbauer & Sigmund, Population Games and Evolutionary Dynamics (book available at the Library of DISMA)
Required skills Knowledge of dynamical systems of ODEs
Knowledge of optimization
Deadline 06/05/2025
PROPONI LA TUA CANDIDATURA