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16    Artificial Intelligence for the Internet of Everything


          Moskowitz is a mathematician at NRL (who holds three patents). The
          authors explore the idea of creating and deploying online agents as their
          way of crafting emergent configurations (EC). As part of this structure, their
          method entails the management of complexity through the use of dynam-
          ically emergent meta-agents forming a holonic system. From their perspec-
          tive, in the context of their research, these meta-agents are agents existing
          inside of a software paradigm where they are able to reason and utilize their
          reasoning to construct and deploy other agents with special purposes for
          which they are able to form an EC. As the authors note, the kind of reason-
          ing models that can support the idea of meta-agents in the context of an EC
          have not been well explored, which they proceed to perform and report on
          in their chapter. To realize an EC using meta-agents, the authors first discuss
          the management of the complexity that a problem creates, then they develop
          a multiagent framework capable of supporting meta-agents, and, finally, the
          authors explore and review known reasoning models. They give an example
          with a service-oriented architecture (SOA), they test it with an automated
          evaluation process, and they introduce holon agents. Holonic agents are
          intelligent agents able to work independently and as part of a hierarchy.
          They are simultaneously complete in and of themselves and are able to inter-
          act independently with the environment, yet they can also be a part of a hier-
          archy. A holon is something that is simultaneously a whole and a part. The
          idea of a holon began with Koestler (1967/1990), who introduced it as part
          of a duality between emotion and reason. As the authors note, the number of
          IoT devices is expected to exceed a billion, making computations and
          searches among the devices complex and difficult. With their approach they
          hope to simplify the process. The authors recommend the development of
          standards in the searches to be made for the discovery of IoT devices.


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