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Defining the Genome and Gametes of a General Collective Intelligence Based Smart City

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dc.contributor.authorWilliams, Andy
dc.date.accessioned2024-03-18T14:46:01Z
dc.date.available2024-03-18T14:46:01Z
dc.date.issued2020-12-24
dc.description.abstractApplying General Collective Intelligence or GCI creates the potential to greatly increase the complexity of problems that might be navigated through collective reasoning processes, and to greatly increase capacity for cooperation in so that collective reasoning might be executed at much greater speed and scale. GCI also aligns cooperation so those outcomes can be sustained. Applying GCI to design processes creates the potential for designs for products and services, as well as manufacturing methods for products and delivery methods for services, that are coherent on a scale that might not have been considered before. Where smart city initiatives look to introduce sustainability into housing and city design, GCI based design aims to gain the capacity to self-assemble projects in a way that optimizes sustainability across all initiatives. This paper explores how the full implementation of GCI in design defines a genome with the capacity to store collectively optimized processes, and how the full implementation of GCI in manufacturing and construction defines gametes with the capacity to be collectively optimized in this way.
dc.identifier.doihttps://doi.org/10.31730/osf.io/b6ep8
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/888
dc.identifier.urihttps://doi.org/10.60763/africarxiv/841
dc.identifier.urihttps://doi.org/10.60763/africarxiv/841
dc.identifier.urihttps://doi.org/10.60763/africarxiv/841
dc.subjectArtificial General Intelligence
dc.subjectGeneral Collective Intelligence
dc.subjectHuman-Centric Functional Modeling
dc.subjectsmart city
dc.subjectsmart housing
dc.titleDefining the Genome and Gametes of a General Collective Intelligence Based Smart City

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