Increasing Discovery in Research, Design, and Other Processes with Artificial General Intelligence and General Collective Intelligence

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dc.contributor.authorWilliams, Andy
dc.date.accessioned2024-03-19T06:54:27Z
dc.date.available2024-03-19T06:54:27Z
dc.date.issued2020-12-17
dc.description.abstractAny system with repeatable behavior can potentially be defined with the minimal set of functions that might be composed to represent the entirety of that behavior. The states accessible through these functions then forms a “functional state space” through which the system moves. Since functional states spaces can be used to represent every problem domain from physics, to communications, to business operations, to the human cognition itself, a general approach to not only research but design and all other processes of discovery that is applicable to all domains can potentially be defined to radically increase capacity for discovery in each domain.
dc.identifier.doihttps://doi.org/10.31730/osf.io/gz385
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/903
dc.identifier.urihttps://doi.org/10.60763/africarxiv/856
dc.identifier.urihttps://doi.org/10.60763/africarxiv/856
dc.identifier.urihttps://doi.org/10.60763/africarxiv/856
dc.subjectArtificial General Intelligence
dc.subjectGeneral Collective Intelligence
dc.subjectresearch impact
dc.subjectinnovation
dc.titleIncreasing Discovery in Research, Design, and Other Processes with Artificial General Intelligence and General Collective Intelligence

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