Title: Breaking through the barriers between centralised collective intelligence and decentralised general collective intelligence to achieve transformative social impact

Authors: Andy E. Williams

Addresses: Nobeah Foundation, 9th Floor, Loita St., Nairobi, Kenya

Abstract: Just as an artificial general intelligence (AGI) is an artificial intelligence (AI) with general problem-solving ability, a general collective intelligence (GCI) is to a collective intelligence (CI). This paper explores how the emerging technique of 'human-centric functional modelling' maximises the capacity of humans to model and understand complex systems, as well as how GCI might significantly increase the general problem-solving ability of groups so that they might reliably converge on a single understanding of complex systems that is 'most fit' in solving problems regarding those systems. This paper also explores decentralisation as a condition under which general collective intelligence-based approaches to understanding complexity might be preferable to collective intelligence-based approaches, as well as exploring the social and other factors that centralise collective intelligence so that groups might be unable to reliably address certain categories of complex societal problems, and how it might be possible to remove those barriers.

Keywords: collective optimisation; individual optimisation; general collective intelligence; collective intelligence; human-centric functional modelling; functional state space.

DOI: 10.1504/IJSSS.2021.124965

International Journal of Society Systems Science, 2021 Vol.13 No.4, pp.294 - 307

Received: 16 May 2021
Received in revised form: 15 Mar 2022
Accepted: 24 May 2022
Published online: 18 Aug 2022 *

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