The GAME THEORY AND COMPUTATION GROUP has been founded with the aim of melting together two complementary aspects of the interactive decision making.
On one side, the aspect of studying and modeling interactive situations, on the other side the more applied issues of studying computational tools to deal with specific classes of problems.
The group is strongly interested in collaborations with other institutions; currently it has a convention with the laboratory Lamsade of the Université Paris Dauphine and with the Energy department of Politecnico di Milano, to share a co-financed Ph.D. grant. Every scholar/institution interested in having a joint project with us is very welcome.
Permanent Itinerant Game Theory Seminars (P.I.G.S.)
Adversarial Team Games
Adversarial team games model strategic settings in which a team of rational agents sharing the same goals plays against an adversary. These games describe a wide array of real-world scenarios such as, in the security setting, those where multiple agents share the common objective of defending an environment against a malicious attacker. In this talk, we first describe the solution concepts related to the possible coordination capabilities of the team. In particular, we introduce the Team-maxmin equilibrium as a means to prescribe the optimal strategy to the team when correlation is not possible. We evaluate the inefficiency bounds of such an equilibrium w.r.t. Nash equilibria and the maxmin equilibrium achievable when teammates can play over correlated strategies. Then, we present some algorithms able to cope with real-world game instances. In the last part of the talk we will focus on current research being done on further extensions of these models.
Speaker: Andrea Celli
When: February 16, 2017, 1.30 pm
Where: Seminar Room of the Department of Economics, Management and Statistics
University of Milan-Bicocca, Piazza Ateneo Nuovo 1,
Building U7, second floor, room 2104