Abstract
A recently developed model of collective intelligence (CI) has been proposed to have the capacity for general collective intelligence (GCI), that is, the capacity for general problem-solving ability that can be reapplied across any domain. This paper explores the relationship between this model of GCI and a model proposed to describe existing CI solutions that are conventional in the sense of accomplishing a single function. The properties required for GCI in this model, and how they make this model unique from other approaches to CI, as well as the implications of these differences, are also explored. In addition, the implications of GCI are explored in terms of the capacity to drive societal impact at transformative scale, where that impact is suggested not to be reliably possible with other approaches to CI.
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Williams, A.E. (2019). The Relationship Between Collective Intelligence and One Model of General Collective Intelligence. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_49
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DOI: https://doi.org/10.1007/978-3-030-28377-3_49
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