MSCA Staff Exchanges · September 2026 – August 2030

Dynamics and combinatorial structures in algorithmic game theory

DYCOSAGT strengthens international collaboration on the analytical tools behind algorithmic game theory. Staff mobility between eight institutions in five countries is the central pillar of the project: researchers exchange knowledge, expertise and experience through funded secondments.

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hero photo — consortium meeting, 4:5

Nash equilibriumShapley valuecore stabilitymechanism designmatching marketsprice of anarchycooperative gamesPareto frontierincentive compatibilitynetwork congestionmachine learning ·

The project

Algorithmic game theory is spreading fast across disciplines, and its applications increasingly depend on advanced methods from mathematics, optimization, computer science and numerical simulation. DYCOSAGT builds the tools, and trains the next generation of researchers while doing it.

WP1

Dynamics of potential games and equilibrium computation

Convergence of game dynamics, and machine learning approaches to computing equilibria.

WP2

Fairness optimization and market mechanisms

Allocation and market rules that stay defensible under strategic behaviour.

WP3

Autonomous multi-agent systems

Combinatorial structures and numerical simulation for systems of independent agents.

WP4

Training

WP3