Version 1
: Received: 27 September 2023 / Approved: 29 September 2023 / Online: 30 September 2023 (17:55:59 CEST)
How to cite:
Xie, Y. Prolonging Human Lifespan by Consciousness Integration or Brain Integration. Preprints2023, 2023092114. https://doi.org/10.20944/preprints202309.2114.v1
Xie, Y. Prolonging Human Lifespan by Consciousness Integration or Brain Integration. Preprints 2023, 2023092114. https://doi.org/10.20944/preprints202309.2114.v1
Xie, Y. Prolonging Human Lifespan by Consciousness Integration or Brain Integration. Preprints2023, 2023092114. https://doi.org/10.20944/preprints202309.2114.v1
APA Style
Xie, Y. (2023). Prolonging Human Lifespan by Consciousness Integration or Brain Integration. Preprints. https://doi.org/10.20944/preprints202309.2114.v1
Chicago/Turabian Style
Xie, Y. 2023 "Prolonging Human Lifespan by Consciousness Integration or Brain Integration" Preprints. https://doi.org/10.20944/preprints202309.2114.v1
Abstract
Human longevity is an important but difficult goal due to the extreme complication of human body. If people could repeatedly transfer their consciousness from old bodies to new ones, their lifespan might be prolonged extremely. However, there are several difficulties which prevent the achievement of such a technique. In this paper, we propose an approach that can transfer human consciousness indirectly, and avoid or significantly relieve those difficulties. The strategy of our approach is to integrate the consciousnesses of two bodies (old and new) into a unique consciousness. By doing so, the consciousness is extended to the new body. After that, the consciousness shrinks and remains in the new body when the old body dies. This may also apply to integrating more than two bodies of human, or animal, or even across different species. After investigating thousands of literatures, we find quite strong evidence (related discoveries and technologies) that can support the proposed approach and its advantages. Beside prolonging human lifespan, the approach could also have other meaningful applications.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
