IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/hn49b.html
   My bibliography  Save this paper

Artificial Earth Economics General Intelligence AEEGI

Author

Listed:
  • Alfarisi, Omar

Abstract

Artificial Earth Economics General Intelligence (AEEGI) is a natural progression of Artificial General Intelligence (AGI) that caters to the Economics of the Earth caring. It is crucial to optimize the entire spectrum of generating, transporting, storing, and consuming earth resources for the betterment of humanity, the environment, industry, and the scientific community. Most research efforts focus on a specific sector, leading to a disconnect between multiple disciplines and hindering effective problem-solving while ignoring the economic impact on the whole ecosystem, including people. AEEGI proposes creating a new coin specific to earth economics and integrating the positive initiative and outcomes from each sector to create an optimal solution that simultaneously addresses multiple objectives that generate the required coins (cash) to achieve them; we call this coin the Hubnomics Earth Wise Coin (EarthYzcoin). The generation of EarthYzcoin and integration across all industry sectors and its value chain are more complex than solving each industry sector or specific value chain challenges separately, but achieving a sustainable and efficient industry-environment-economic system is necessary. Because the industry, as per the current economic system, would have to invest more to become more environmentally friendly. Therefore, with EarthYzcoin, the required investment would be generated by EarthYzcoin and given to industries and universities to research and develop cleaner processes and technologies. At the same time, as per the definition of Yzcoin, the fund that Yzcoin generates is not taken from anyone; instead, it is purely generated as an equivalent value to what the environmental project deliverables outcome. However, EarthYzcoin is an upfront generation of value provided to institutions that would work on researching and developing cleaner solutions to industries and life. The role of AEEGI is to ensure continuous learning from every new outcome to keep optimizing.

Suggested Citation

  • Alfarisi, Omar, 2023. "Artificial Earth Economics General Intelligence AEEGI," OSF Preprints hn49b, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:hn49b
    DOI: 10.31219/osf.io/hn49b
    as

    Download full text from publisher

    File URL: https://osf.io/download/6523af0a0ee232034b41a2f7/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/hn49b?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alfarisi, Omar, 2023. "Artificial Energy General Intelligence AEGI," OSF Preprints ye254, Center for Open Science.
    2. Alfarisi, Omar, 2023. "Cloud Service Marketing Strategy Framework for Higher Value Customer-Segments Deployment," OSF Preprints x7hft, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alfarisi, Omar, 2023. "Hubnomics: Chapter 2 - Wise Coin (yzcoin) The Value of Money and the Value of Human," OSF Preprints zrb9d, Center for Open Science.
    2. Alfarisi, Omar, 2023. "Artificial Energy General Intelligence AEGI," OSF Preprints ye254, Center for Open Science.
    3. Alfarisi, Omar, 2023. "Hubnomics: Chapter 3 - The Economy and the Beauty of Time with YZCOIN Behavior Dimension," OSF Preprints 6sgxf, Center for Open Science.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:hn49b. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.