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Does Creating an Artificial General Intelligence Require General Collective Intelligence in Order to be Reliably Achievable?

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dc.contributor.authorWilliams, Andy
dc.date.accessioned2024-03-19T12:00:05Z
dc.date.available2024-03-19T12:00:05Z
dc.date.issued2020-08-17
dc.description.abstractGeneral Collective Intelligence or GCI has been predicted to create the potential for an exponential increase in the problem-solving capacity of the group, as compared to the problem-solving capacity of any individual in the group. A functional model of cognition proposed to represent the complete set of human cognitive functions, and therefore to have the capacity for human-like general problem-solving ability has recently been developed. This functional model suggests a methodical path by which implementing a working Artificial General Intelligence (AGI) or a working General Collective Intelligence might reliably be achievable. This paper explores the claim that there are no other reliable paths to AGI currently known, and explores why this one known path might require an exponential increase in the general problem-solving ability of any group of individuals to be reliably implementable. And why therefore, AGI might require GCI to be reliably achievable.
dc.identifier.doihttps://doi.org/10.31730/osf.io/3q72c
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/975
dc.identifier.urihttps://doi.org/10.60763/africarxiv/928
dc.identifier.urihttps://doi.org/10.60763/africarxiv/928
dc.identifier.urihttps://doi.org/10.60763/africarxiv/928
dc.subjectArtificial General Intelligence
dc.subjectGeneral Collective Intelligence
dc.titleDoes Creating an Artificial General Intelligence Require General Collective Intelligence in Order to be Reliably Achievable?

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