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Computational Models of Human Decision-Making with Application to the Internet of Everything

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Document pages: 9 pages

Abstract: The concept of the Internet of Things (IoT) first appeared a few decades ago.Today, by the ubiquitous wireless connectivity, the boost of machine learningand artificial intelligence, and the advances in big data analytics, it is safeto 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, andprocesses, which render it as an inhomogeneous large-scale network. A crucialchallenge of such a network is to develop management, analysis, andoptimization policies that besides utility-maximizer machines, also takeirrational humans into account. We discuss several networking applications inwhich appropriate modeling of human decision-making is vital. We then provide abrief review of computational models of human decision-making. Based on onesuch model, we develop a solution for a task offloading problem in fogcomputing and we analyze the implications of including humans in the loop.

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