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.

中文翻译：

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人为决策的计算模型及其在物联网中的应用

物联网（IoT）的概念最早出现在几十年前。如今，借助无处不在的无线连接，机器学习和人工智能的发展以及大数据分析的进步，可以肯定地说，物联网已经发展成为一种新概念，称为万物互联（IoE）或物联网全部。IoE具有四个支柱，事物，人员，数据和流程，这使其成为一个不均匀的大规模网络。这种网络的一个关键挑战是开发管理，分析和优化策略，这些策略除了效用最大化的机器外，还应考虑非理性的人。我们讨论了几种网络应用程序，在这些应用程序中，适当的人员决策模型至关重要。然后，我们简要回顾了人类决策的计算模型。基于一种这样的模型，