Special issue of "IEEE Transactions on Systems Man And Cybernetics" on "Game Theory"

Game theory is a formal framework with a set of mathematical tools to study the complex interactions among interdependent rational players. For more than half a century, computational game theory has led to revolutionary changes in economics, and has found important applications in politics, sociology, psychology, communication, transportation, biology.

Evolutionary Game Theory (EGT) is a solid basis for understanding learning and constructing new learning algorithms. The Replicator Equations will appear to be an interesting model to study learning in various settings. This model consists of a system of differential equations describing how a population (or a probability distribution) of strategies evolves over time, and plays a central role in biological and economical models. Thus, EGT is an integral part of AI.

The aim of this issue is to bring together the state-of-the-art research contributions that address the fundamentals and sound theoretical models of game theory and the major opportunities and challenges of applying game theory to solving real problems in industry, biology, medicine, communications, and other disciplines.

For more information, see http://www.ieeesmc.org/publications/CFP-IEEE%20SMCB%20spec%20issues_plan/.