User:CognitiveMMA/sandbox/GCI4WebSci2022/gci

General Collective Intelligence

A General Collective Intelligence is a hypothetical platform that allows groups to execute potentially any collective reasoning. From the perspective of Human-Centric Functional Modeling, existing collective intelligence solutions are represented as having narrow problem-solving ability (the ability to solve problems in a potentially narrow range of areas) instead of general problem-solving ability (the potential to solve any problem in general). One of the most important problems targeted by GCI is the ability to choose type 1 or type 2 reasoning depending on which is predicted to result in optimal outcomes for the group within the context of a specific problem, as opposed to being constrained to either type 1 or type 2 reasoning by the collective cognitive bias of the group.

Current models of General Collective Intelligence contain the functional components believed to be required to achieve all the aspects of decentralization, generalization, and semantic representation required to exponentially increase the general problem-solving ability of groups. A GCI differs from existing collective in this respect as well, since existing collective intelligence solutions are not believed to have the potential capacity to exponentially increase this group intelligence.