Title: Approximating an artificial general intelligence or a general collective intelligence

Authors: Andy E. Williams

Addresses: Nobeah Foundation, Nairobi, Kenya

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.

Keywords: general collective intelligence; GCI; collective intelligence; artificial general intelligence; AGI; human-centric functional modelling.

DOI: 10.1504/IJCI.2021.122708

International Journal of Collaborative Intelligence, 2021 Vol.2 No.3, pp.210 - 223

Received: 20 Mar 2021
Accepted: 22 Jun 2021
Published online: 06 May 2022 *

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