Breaking through the barriers between centralised collective intelligence and decentralised general collective intelligence to achieve transformative social impact
by Andy E. Williams
International Journal of Society Systems Science (IJSSS), Vol. 13, No. 4, 2021

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.

Online publication date: Thu, 18-Aug-2022

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