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General Collective Intelligence

Editorial Board
Lead Guest Editors:
  • Andy E Williams ()
Aims & Scope

The special issue on General Collective Intelligence of the EAI Endorsed
Transactions on Industrial Networks and Intelligent Systems is an open access, peer-
reviewed scholarly journal focused on system of cognitive computing, and systems of
collective cognitive computing that enable groups to self-organize into networks to
achieve any general purpose with hardware and/or software. These purposes are by no means limited to the topics focused on by the EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, namely: ubiquitous computing, cloud computing, and cyber-physical system, all kinds of networks in large-scale factories, including a lot of traditional and new industries.


General Collective Intelligence (GCI) has been described as any platform that combines groups of individuals into a single Collective Intelligence (CI) with the potential for vastly increased general problem-solving ability (super intelligence). Where a CI must have the ability to select optimal solutions to a specific problem or range of problems, having general problem-solving ability a GCI must also have the ability to select the optimal problem to solve. Recent work defining a model of GCI suggests this model is part of a general pattern for systems of cognition in which successive solutions lead to an exponential increase in intelligence. Intelligence can be directed at any topic in which processes are not completely deterministic. This model of GCI suggests intelligence is related to ability to impact outcomes in solving any general problem. If so, directing an exponential increase in intelligence at a given problem creates the potential to achieve an exponential increase in impact on those problems. From this GCI perspective, such an
exponential increase in ability to impact any general problem has never been possible before at any time in human civilization, and cannot be again until a second order GCI creates the potential for another exponential increase. All of this highlights the importance of the design of hardware and software for execution by systems of cognitive computing, and systems of collective cognitive computing.

TOPICS:

  • Applications of cognitive computing (computing executed by an intelligent agent
    such as an AGI), or application of collective cognitive computing (such as a GCI),
    in various industries.
  • Exploration of the architecture required to enable software and hardware to
    interact with a system of cognitive computing able to execute any functionality on
    behalf of the user as an intelligent agent, to optimize and vastly increase user
    outcomes.
  • Exploration of the architecture required to enable software and hardware to
    interact with a system of collective cognitive computing able to store information
    about which combination of different technologies is most fit in implementing
    every computing operation, so that the computing operations executed by any
    one individual benefit from intelligence gained from the execution of any
    computing operation by any other individual. And in addition, to do so in a decentralized way that enables individuals, and intelligent agents working on
    behalf of those individuals, to self-assemble into synergistic networks capable of
    optimizing and vastly increasing collective outcomes.
  • Requirements to achieve stability in the resource inputs required to sustain
    collective reasoning.
  • Measurement or prediction of the limits to the complexity or scale of problems
    that can be solved by a given system of cognitive or collective cognitive
    computing.
  • Analysis of specific problems or categories of problems that are predicted not to be reliably solvable without AGI or GCI.
Keywords
Manuscript submission deadline:
2021-01-30
Notification of acceptance:
2021-03-01
Submission of final revised paper:
2021-03-31
Publication of special issue (tentative):
2021-04-16

Publication:
Industrial Networks and Intelligent Systems