  The concept of the Internet of Things (IoT) first appeared a few decades ago.
Today, by the ubiquitous wireless connectivity, the boost of machine learning
and artificial intelligence, and the advances in big data analytics, it is safe
to say that IoT has evolved to a new concept called the Internet of Everything
(IoE) or the Internet of All. IoE has four pillars: Things, human, data, and
processes, which render it as an inhomogeneous large-scale network. A crucial
challenge of such a network is to develop management, analysis, and
optimization policies that besides utility-maximizer machines, also take
irrational humans into account. We discuss several networking applications in
which appropriate modeling of human decision-making is vital. We then provide a
brief review of computational models of human decision-making. Based on one
such model, we develop a solution for a task offloading problem in fog
computing and we analyze the implications of including humans in the loop.
