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The global brain and the emerging economy of abundance: Mutualism, open collaboration, exchange networks and the automated commons

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  • Goertzel, Ben
  • Goertzel, Ted
  • Goertzel, Zarathustra

Abstract

The emergence of artificial general intelligence and the global brain provides new opportunities for realizing humanity's long quest for a more utopian existence. One possibility is a more successful implementation of the state socialist vision of a centrally managed economy, possibly controlled by an AGI “Nanny” instead of a central committee of politicians. An alternative outcome, more in keeping with the original Marxist vision of the withering away of the state, may be the mutualist vision of organizing economic and social life along voluntary lines. A number of recent developments and new ideas may facilitate this outcome. The institution of the commons, in the past available only to small geographical communities, can now be used by global communities. Open collaboration and exchange networks facilitate voluntary cooperative activity by people at dispersed physical locations. Open Production Networks can make the most complicated economic exchanges transparent to consumers, allowing them to factor ethical and sociological considerations into their purchasing decisions. Offer Networks can help people with similar interests and complementary abilities to organize joint projects and organizations. Blockchain technologies could be used to create transparent currencies in which transactions can be done openly. These and other related technologies have the potential to humanize global economic interactions, giving them more emotional resonance, as increasing affluence lessens individual and societal preoccupation with maximizing economic gain.

Suggested Citation

  • Goertzel, Ben & Goertzel, Ted & Goertzel, Zarathustra, 2017. "The global brain and the emerging economy of abundance: Mutualism, open collaboration, exchange networks and the automated commons," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 65-73.
  • Handle: RePEc:eee:tefoso:v:114:y:2017:i:c:p:65-73
    DOI: 10.1016/j.techfore.2016.03.022
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    Cited by:

    1. Drivas, Kyriakos & Kaplanis, Ioannis, 2020. "The role of international collaborations in securing the patent grant," Journal of Informetrics, Elsevier, vol. 14(4).
    2. Pritpal Singh BHULLAR & Dyal BHATNAGAR, 2020. "Bitcoins as a determinant of stock market movements: A comparison of Indian and Chinese Stock Markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(624), A), pages 193-202, Autumn.
    3. Chand Bhatt, Priyanka & Kumar, Vimal & Lu, Tzu-Chuen & Daim, Tugrul, 2021. "Technology convergence assessment: Case of blockchain within the IR 4.0 platform," Technology in Society, Elsevier, vol. 67(C).
    4. Klarin, Anton, 2020. "The decade-long cryptocurrencies and the blockchain rollercoaster: Mapping the intellectual structure and charting future directions," Research in International Business and Finance, Elsevier, vol. 51(C).
    5. Chang, Shuchih Ernest & Chen, Yi-Chian & Lu, Ming-Fang, 2019. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 1-11.
    6. Alonso-Martínez, Daniel, 2018. "Social progress and international patent collaboration," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 169-177.
    7. Centobelli, Piera & Cerchione, Roberto & Esposito, Emilio & Oropallo, Eugenio, 2021. "Surfing blockchain wave, or drowning? Shaping the future of distributed ledgers and decentralized technologies," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    8. Albekov Adam Umarovich & Vovchenko Natalia Gennadyevna & Andreeva Olga Vladimirovna & Sichev Roman Alexandrovich, 2017. "Block Chain and Financial Controlling in the System of Technological Provision of Large Corporations," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 3-12.
    9. Muhammad Ali Nasir & Toan Luu Duc Huynh & Sang Phu Nguyen & Duy Duong, 2019. "Forecasting cryptocurrency returns and volume using search engines," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-13, December.

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