论文标题
人类决策的计算模型，并应用于所有事物的互联网
Computational Models of Human Decision-Making with Application to the Internet of Everything
论文作者
论文摘要
物联网（IoT）的概念首先出现几十年前。如今，通过无处不在的无线连接，机器学习和人工智能的提升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称为“一切”（IOE）或所有互联网的新概念。 IOE有四个支柱：事物，人类，数据和过程，它们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制定管理，分析和优化政策，除了公用事业 - 磁化机以外，还考虑了非理性的人类。我们讨论了几种网络应用程序，其中适当的人类决策建模至关重要。然后，我们简要审查了人类决策的计算模型。基于一个这样的模型，我们为雾计算中的任务卸载问题开发了一个解决方案，并分析了将人类纳入循环的含义。
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.
