Algorithmic and evolutionary game theory and their applications in Internet of Things

Algorithmic game theory concerns algorithms and their analyses of finding equilibria in multi-agent strategic environments. Nash has shown that, in his seminal work, there is always an equilibrium where all agents can stay with their best responses. Evolutionary game theory concerns on stability and dynamics of agent population through differential reproduction governed by mutation and natural selection. Recently we have seen huge potentials of applying research achievements of algorithmic and evolutionary game theories to the domain of Internet of Things, which constitutes an intelligent network of humans, things and services.