Game theory is the formal study of conflict and cooperation. Game theoretic concepts apply whenever the actions of several agents are interdependent. These agents may be individuals, groups, firms, or any combination of these. The concepts of game theory provide a language to formulate, structure, analyse and understand strategic scenarios.
Individual faculty interests are listed below, along with our Research students.
Dr Galit Ashkenazi-Golan
Repeated games; Markov decision processes and stochastic games; Borel games; games with incomplete information; games with imperfect monitoring
Professor Olivier Gossner
Game theory; economics of information; bounded rationality and complexity; repeated games
Professor Andrew Lewis-Pye
Logic; computability; discrete mathematics; algorithmic randomness; network science; complex systems; distributed computing; cryptocurrencies
Dr Grammateia Kotsialou
Liquid democracy; distributed ledger technology; mechanism design; decentralised governance structures; algorithmic economics
Dr Katerina Papadaki
Multiagent learning in pricing games; search and patrolling games; robust optimisation; combinatorial optimisation; approximate dynamic programming algorithms; applications in wireless networks, transportation, energy efficiency, scheduling, and financial portfolio optimisation
Professor Bernhard von Stengel
Game theory; efficient computation of equilibria; theory of online algorithms; extensive form games; correlated equilibria; pivoting algorithms in linear programming; polytope theory