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182   Artificial Intelligence for the Internet of Everything


          10.4 CONCLUDING REMARKS

          Unlike the usual articles on IoE, which deal with a specific application of
          IoE, this chapter provides a panoramic view of IoE in economic theory, spe-
          cifically, across the history of economic analysis. Reviewing the history of
          economic analysis in the light of developments in mathematics, physics,
          and machines has become a unique approach in economics. In that direc-
          tion, this chapter can be regarded as a continuation of the intellectual inquiry
          initiated by Philip Mirowski (Mirowski, 2002, 2007).
             Our inquiry has been carried out at both the macro and micro level. At
          the macro level, we explored the possibility of the unmanned markets as the
          continuation of the socialist calculation debate, while in the context of IoE,
          and at the micro level, we address the rationality or irrationality of individ-
          uals in economics under IoE. The two inquiries are closely related because
          the unmanned markets are largely built upon the automated decisions for
          individuals. Hence, these automated decisions, to some extent, determine
          the performance of the unmanned markets. 11  When automated decisions
          take place on a large scale, the individuals’ decisions are facilitated not just
          by pens and pencils, abacuses, decision-support systems, or high-
          performance computing, but also by ubiquitous networking (IoE). With this
          “extended (augmented) mind,” would these individuals (cyborgs) behave
          more like homo economicus? Or, alternatively, would the prediction of
          Richard Thaler be affected by the presence of IoE?
             In this chapter, we addressed the plausible models of individuals in eco-
          nomic theory, when these individuals become part of the IoE economy.
          This issue seems to be particularly relevant since in neoclassical economics
          decision makers have long been treated as information-processing units.This
          notion was already formalized when decision sciences and economics were
          fully integrated in von Neumann and Morgenstern’s collaborative mag-
          num opus, Theory of Games and Economic Behavior (Von Neumann &
          Morgenstern, 1944), and was further strengthened when statistics also
          adopted a decision-making ontology and a game-theoretic methodology
          (Savage, 1954). The later rational expectations revolution in the 1970s and
          1980s had pushed the concept of the information-processing unit to
          unprecedentedly high ground, probably achieving the golden age of homo
          economicus. However, this portrait has long worried psychologists and



          11
            This issue has already triggered a very active research area, at least in the domain of financial markets
            (Lewis, 2014; Patterson, 2012).
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