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Game Theory Research

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

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Repeated games; Markov decision processes and stochastic games; Borel games; games with incomplete information; games with imperfect monitoring

 

 

Professor Olivier Gossner

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Game theory; economics of information; bounded rationality and complexity; repeated games

 

Professor Andrew Lewis-Pye

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Logic; computability; discrete mathematics; algorithmic randomness; network science; complex systems; distributed computing; cryptocurrencies

 

Dr Grammateia Kotsialou

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Liquid democracy; distributed ledger technology; mechanism design; decentralised governance structures; algorithmic economics

 

Dr Katerina Papadaki

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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

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Game theory; efficient computation of equilibria; theory of online algorithms; extensive form games; correlated equilibria; pivoting algorithms in linear programming; polytope theory


Research Students