Game theory provides a formal mathematical framework to study complex interactions among interdependent rational players. For more than half a century, game theory has led to revolutionary developments in economics, and has also found important applications in politics, sociology, psychology, engin…
Game theory provides a formal mathematical framework to study complex interactions among interdependent rational players. For more than half a century, game theory has led to revolutionary developments in economics, and has also found important applications in politics, sociology, psychology, engineering, and transportation. Recently, there has been a surge in research activities that employ game theory to model and analyze the performance of various networks, such as communication networks, computer networks, social networks, biological networks, molecular networks, and neural networks. There already exist several successful examples where game theory provides deeper understanding of complex network dynamics and leads to better design of efficient, scalable, and robust networks. Still, there remain many interesting open research problems yet to be identified and explored, and many issues to be addressed. Moreover, studies of different networks heretofore have largely been performed independently, although in many cases it is apparent that they share many similarities in terms of problem structures and the technical challenges they offer.
