Why General Collective Intelligence Must Be the Future of the Blockchain (Poster)

Author Andy E. Williams

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Andy E. Williams
  • Nobeah Foundation, Nairobi, Kenya

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Andy E. Williams. Why General Collective Intelligence Must Be the Future of the Blockchain (Poster). In 5th International Symposium on Foundations and Applications of Blockchain 2022 (FAB 2022). Open Access Series in Informatics (OASIcs), Volume 101, pp. 10:1-10:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


General Collective Intelligence or GCI is predicted to radically increase the speed and scale at which blockchain technology can be designed, developed, and deployed as well as being predicted to radically increase demand for those new blockchain based products and services where they don’t involve consumption of limited physical resources. Therefore, if a GCI can be implemented, it is predicted that GCI based platforms will quickly come to dominate the blockchain marketplace and that GCI is the future of the blockchain. But it also must be the case that GCI is the future of the blockchain because without it, through an effect called the "technology gravity well" blockchain and other technologies have the possibility of introducing an unprecedented degree of centralization, control, and abuse.

Subject Classification

ACM Subject Classification
  • Human-centered computing → Human computer interaction (HCI)
  • General Collective Intelligence
  • Human-Centric Functional Modeling
  • functional state space
  • conceptual space
  • blockchain state space
  • cooperation state space


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  1. Andy E Williams. Cognitive computing and its relationship to computing methods and advanced computing from a human-centric functional modeling perspective. In SCRS Conference Proceedings on Intelligent Systems, SCRS, New Delhi, India, pages 16-33, 2021. Google Scholar
  2. Andy E Williams. Defining a continuum from individual, to swarm, to collective intelligence, and to general collective intelligence. International Journal of Collaborative Intelligence, 2(3):205-209, 2021. Google Scholar
  3. Andy E Williams. Human-centric functional modeling and the unification of systems thinking approaches: A short communication. Journal of Systems Thinking, 2021. Google Scholar
  4. Andy E Williams. Automating the process of generalization, March 2022. URL: https://doi.org/10.31730/osf.io/fb4us.
  5. Andy E Williams. Breaking through the barriers between centralized collective intelligence and decentralized general collective intelligence to achieve transformative social impact. International Journal of Society Systems Science, 2022. Google Scholar