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Dynamics and Combinatorial Structures in Algorithmic Game Theory

CORDIS · observation · Publication date unknown

essing a significant trend towards using algorithmic game theory approaches and concepts like optimization of fairness, autonomous multi-agent systems, dynamics of potential games, market mechanisms, machine learning of equilibria in various sectors (sciences, humanities, business, administration). There are hints of connections of new applications with existing deep methods of mathematics, optimization, computer science and numerical simulations by machine learning. DyCoSAGT focuses on the development of a new analytic toolkit to substantially broaden the current repertoire of the algorithmic game theorists: to reach this ambitious and relevant goal, the project will foster and expand international collaborative network of research groups, facilitating the transfer of knowledge of disciplines involved, and testing innovative approaches to the algorithm game theory. Core of DyCoSAGT is the international mobility between EU, Associated and Third Countries, open to researchers at any career stage in the field of Mathematics, Economic Sciences and Computer Science. DyCoSAGT will explo

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recordType

award

status

SIGNED

region

EU

value

626250

unit

EUR