Approximating an artificial general intelligence or a general collective intelligence Online publication date: Fri, 06-May-2022
by Andy E. Williams
International Journal of Collaborative Intelligence (IJCI), Vol. 2, No. 3, 2021
Abstract: Human-centric functional modelling has recently been used to define a model of artificial general intelligence hypothesised to have the capacity for human-like general problem-solving ability (intelligence), as well as a model of general collective intelligence (GCI) with the potential for exponentially greater general problem-solving ability than any individual in the group. Orchestrating the cooperation necessary to implement a functional model of AGI is hypothesised to require GCI to be reliably achievable. Furthermore, regardless of the collective benefits, investment in GCI by any large, centralised entity is generally misaligned with their individual incentives. This paper explores how a rudimentary AGI and a rudimentary GCI might be implemented through approximating the functions of each, in order to reduce the effort required to create systems that provide sufficient value to incentivise more sophisticated implementations to be developed over time in a decentralised, bottom up way that can be initiated by small teams.
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