The role of information in game-theoretic decisions on distributed systems

Project description

Game theory is an important instrument for analysis and design of resource allocation algorithms on distributed systems. In many real-world problems, information available to agents is incomplete in contrast to the perfect information assumption often made. This project will investigate game-theoretic decisions and quantify information analytically using concepts from information theory. A better understanding and quantitative modelling of information will lead to distributed systems that are optimal and robust with respect
to communication constraints. Project outcomes will be applicable to electrical power grids, renewable energy generation and storage, water irrigation networks, and communication systems.

Project team

Leader: Tansu Alpcan

Staff: Tansu Alpcan, Girish Nair, Rob Evans

Collaborators: Tamer Basar

Other projects

Networks and data in society projects

Disciplines

Electrical & Electronic Engineering

Domains

Networks and data in society

Keywords

applied control theory; Information Systems; optimisation