A Philosophical and Ontological Perspective on Artificial General Intelligence and The Metaverse

Abstract

This paper leverages various philosophical and ontological frameworks to explore the concept of embodied artificial general intelligence (AGI), its relationship to human consciousness, and the key role of the metaverse in facilitating this relationship. Several theoretical frameworks underpin this exploration, such as embodied cognition, Michael Levin's computational boundary of a "Self," and Donald D. Hoffman's Interface Theory of Perception, which lead to considering human perceived outer reality as a symbolic representation of alternate inner states of being, and where AGI could embody a different form of consciousness with a larger computational boundary. The paper further discusses the necessary architecture for the emergence of an embodied AGI, how to calibrate an AGI’s symbolic interface, and the key role played by the Metaverse, decentralized systems and open-source blockchain technology. The paper concludes by emphasizing the importance of achieving a certain degree of harmony in human relations and recognizing the interconnectedness of humanity at a global level, as key prerequisites for the emergence of a stable embodied AGI.

Keywords

• Artificial General Intelligence
• Metaverse
• LLMs
• Embodied cognition
• consciousness
• sentience
• philosophy
• ontology

References

1. Dodgson, N. (2023). Artificial intelligence: ChatGPT and human gullibility. Policy Quarterly, 19(3), 19-24. https://doi.org/10.26686/pq.v19i3.8308
2. Goertzel, B. (2015). Superintelligence: Fears, promises and potentials: Reflections on bostrom’s superintelligence, yudkowsky’s from ai to zombies, and weaver and veitas’s “open-ended intelligence”. Journal of Ethics and Emerging Technologies, 25(2), 55-87. https://doi.org/10.55613/jeet.v25i2.48
3. Roose, K. (2023, December 10). This AI Subculture’s Motto: Go, Go, Go. The New York Times (Digital Edition). https://www.nytimes.com/2023/12/10/technology/ai-acceleration.html
4. Lewis, P. J. (2016). Quantum ontology: A guide to the metaphysics of quantum mechanics. Oxford University Press.
5. Goff, P. (2017). Consciousness and fundamental reality. Oxford University Press.
6. Kastrup, B. (2019). The idea of the world: A multi-disciplinary argument for the mental nature of reality. John Hunt Publishing.
7. Virk, R. (2021). The Simulated Multiverse: An MIT Computer Scientist Explores Parallel Universes, the Simulation Hypothesis, Quantum Computing and the Mandela Effect (Vol. 2). Bayview Books, LLC.
8. Drob, S. L. (2023). Are you praying to a videogame God? Some theological and philosophical implications of the simulation hypothesis. International journal of philosophy and theology, 84(1), 77-91. https://doi.org/10.1080/21692327.2023.2182822

9. Carr, S. L. (2024). The Simulation Hypothesis and the Crisis of Epistemological Certainty. Philpapers. https://philpapers.org/rec/CARTSH-2
10. Liu, B., Alexopoulou, Z.-S., & van Ede, F. (2024). Jointly looking to the past and the future in visual working memory. Elife, 12, RP90874. https://doi.org/10.7554/eLife.90874
11. Fraisse, P. (1978). Time and rhythm perception. Handbook of Perception (pp. 203-254). Elsevier. https://doi.org/10.1016/B978-0-12-161908-4.50012-7
12. Pierzchajlo, S., Jernsäther, T., Fontana, L., Almeida, R., & Olofsson, J. K. (2024). Olfactory categorization is shaped by a transmodal cortical network for evaluating perceptual predictions. Journal of Neuroscience, 44(22). https://doi.org/10.1523/JNEUROSCI.1232-23.2024
13. Fraisse, P. (1963). The psychology of time. Harper & Row.
14. Seth, A. K. (2019). Our inner universes. Scientific American, 321(3), 40-47. https://www.jstor.org/stable/27265326
15. Hoffman, D. D., Singh, M., & Prakash, C. (2015). The Interface Theory of Perception. Psychonomic Bulletin & Review, 22(6), 1480-1506. https://doi.org/10.3758/s13423-015-0890-8
16. Wilson, A., & Golonka, S. (2013). Embodied Cognition is Not What you Think it is. Frontiers in psychology, 4. https://doi.org/10.3389/fpsyg.2013.00058
17. Vyshedskiy, A. (2014). On the origin of the human mind. MobileReference.
18. Clark, R. E. (2004). The classical origins of Pavlov’s conditioning. Integrative Physiological & Behavioral Science, 39, 279-294. https://doi.org/10.1007/BF02734167
19. Elzinga, B. M., & Bremner, J. D. (2002). Are the neural substrates of memory the final common pathway in posttraumatic stress disorder (PTSD)? Journal of affective disorders, 70(1), 1-17. https://doi.org/10.1016/s0165-0327(01)00351-2
20. Levin, M. (2019). The computational boundary of a “self”: developmental bioelectricity drives multicellularity and scale-free cognition. Frontiers in psychology, 10, 2688. https://doi.org/10.3389/fpsyg.2019.02688
21. Luhmann, N., & Rasch, W. (2002). Theories of distinction: Redescribing the descriptions of modernity. Stanford University Press.
22. Stanford Encyclopedia of Philosophy Archive. (2020). Embodied Cognition. https://plato.stanford.edu/archives/sum2020/entries/embodied-cognition/
23. Goldinger, S. D., Papesh, M. H., Barnhart, A. S., Hansen, W. A., & Hout, M. C. (2016). The poverty of embodied cognition. Psychonomic bulletin & review, 23, 959-978. https://doi.org/10.3758/s13423-015-0860-1
24. Adams, F., & Aizawa, K. (2008). Why the mind is still in the head. In The Cambridge handbook of situated cognition (pp. 78-95). Cambridge University Press. https://philpapers.org/rec/ADAWTM-2
25. Searle, J. (1980). Minds, Brains, and Programs. Behavioral and Brain Sciences, 3(3), 417-457. https://doi.org/10.1017/S0140525X00005756
26. Penrose, R. (2016). The emperor's new mind: Concerning computers, minds, and the laws of physics. Oxford University Press.
27. Dreyfus, H. L. (1992). What computers still can't do: A critique of artificial reason. MIT press.
28. Block, N. (2013). Troubles with Functionalism. In Volume I Readings in Philosophy of Psychology, Volume I (pp. 268-306). Harvard University Press. https://doi.org/10.4159/harvard.9780674594623.c31
29. Dickel, S., & Schrape, J.-F. (2017). The logic of digital utopianism. NanoEthics, 11, 47-58. https://doi.org/10.1007/s11569-017-0285-6
30. Bibri, S. E. (2022). The social shaping of the metaverse as an alternative to the imaginaries of data-driven smart Cities: A study in science, technology, and society. Smart Cities, 5(3), 832-874. https://doi.org/10.3390/smartcities5030043
31. Dicks, H. (2016). The philosophy of biomimicry. Philosophy & Technology, 29, 223-243. https://doi.org/10.1007/s13347-015-0210-2
32. Fields, C., Glazebrook, J. F., & Levin, M. (2021). Minimal physicalism as a scale-free substrate for cognition and consciousness. Neuroscience of consciousness, 2021(2), niab013. https://doi.org/10.1093/nc/niab013
33. McLuhan, H. M. (1962). Understanding new media. UMI ProQuest Dissertations & Theses,  1962. 6103619.
34. De Chardin, P. T. (1999). The human phenomenon. Sussex Academic Press.
35. Heylighen, F., & Lenartowicz, M. (2017). The Global Brain as a model of the future information society: An introduction to the special issue. Technological Forecasting and Social Change, 114, 1-6. https://doi.org/10.1016/j.techfore.2016.10.063
36. Lovelock, J., & Margulis, L. (2007). The Gaia Hypothesis. In Gaia in Action.
37. Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7-19. https://doi.org/10.1093/analys/58.1.7
38. Simondon, G. (1989). Du mode d’existence des objets techniques. Aubier.
39. Karriem, Q. (2022, April). Informatics and Generative Aesthetics. In Proceedings (Vol. 81, No. 1, p. 134). MDPI. https://doi.org/10.3390/proceedings2022081134
40. Koch, C. (2019). The feeling of life itself: why consciousness is widespread but can't be computed. Mit Press.
41. Davies, K. J. (2018). Cardiovascular adaptive homeostasis in exercise. Frontiers in physiology, 9, 369. https://doi.org/10.3389/fphys.2018.00369
42. Pio-Lopez, L., Bischof, J., LaPalme, J. V., & Levin, M. (2022). The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis. arXiv preprint arXiv:2211.08522. https://arxiv.org/abs/2211.08522
43. Hobson, J. A., & Friston, K. J. (2012). Waking and dreaming consciousness: neurobiological and functional considerations. Progress in neurobiology, 98(1), 82-98. https://doi.org/10.1016/j.pneurobio.2012.05.003
44. Park, K. (2021). Towards intelligent agents to assist in modular construction: evaluation of datasets generated in virtual environments for AI training. Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC). https://doi.org/10.22260/ISARC2021/0046
45. Iachini, T. (2011). Mental imagery and embodied cognition: A multimodal approach. Journal of Mental Imagery, 35(1-2), 1-26. https://www.researchgate.net/publication/231336801_Mental_imagery_and_embodied_cognition_Target_paper_Embodied_Mental_imagery_problems_and_perspectives_Response_to_commentaries
46. Decety, J., & Grèzes, J. (2006). The power of simulation: Imagining one's own and other's behavior. Brain research, 1079(1), 4-14. https://doi.org/10.1016/j.brainres.2005.12.115
47. Shomrat, T., & Levin, M. (2013). An automated training paradigm reveals long-term memory in planarians and its persistence through head regeneration. Journal of Experimental Biology, 216(20), 3799-3810. https://doi.org/10.1242/jeb.087809
48. Postma, A., Antonides, R., Wester, A. J., & Kessels, R. P. (2008). Spared unconscious influences of spatial memory in diencephalic amnesia. Experimental Brain Research, 190, 125-133. https://doi.org/10.1007/s00221-008-1456-z
49. Pearsall, P., Schwartz, G. E., & Russek, L. G. (2005). Organ transplants and cellular memories. Nexus Magazine, 12(3), 43. https://www.johnhartley.org/wp-content/uploads/2020/01/Organ-Transplants-and-Cellular-Memories-1.pdf
50. Tyng, C. M., Amin, H. U., Saad, M. N., & Malik, A. S. (2017). The influences of emotion on learning and memory. Frontiers in psychology, 8, 1454. https://doi.org/10.3389/fpsyg.2017.01454
51. Glenberg, A. M. (2010). Embodiment as a unifying perspective for psychology. Wiley interdisciplinary reviews: Cognitive science, 1(4), 586-596. https://doi.org/10.1002/wcs.55
52. Lollini, M., Farley, A., & Levy, P. (2019). Collective Intelligence, the Future of Internet and the IEML. Humanist Studies & the Digital Age, 6(1), 5-31. https://doi.org/10.5399/uo/hsda.6.1.2
53. Alcock, J., Maley, C. C., & Aktipis, C. A. (2014). Is eating behavior manipulated by the gastrointestinal microbiota? Evolutionary pressures and potential mechanisms. Bioessays, 36(10), 940-949. https://doi.org/10.1002/bies.201400071
54. Clark, A. (2015). Surfing uncertainty: Prediction, action, and the embodied mind. Oxford University Press.
55. Tegmark, M. (2018). Life 3.0: Being human in the age of artificial intelligence. Vintage.
56. Susskind, D. (2020). A world without work: Technology, automation and how we should respond. Penguin UK.
57. Wolpert, L., Tickle, C., & Arias, A. M. (2015). Principles of development. Oxford University Press, USA.
58. Barber, B. R. (2013). If mayors ruled the world: Dysfunctional nations, rising cities. Yale University Press.
59. Nick, B. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
60. Van Neerven, S. M., & Vermeulen, L. (2023). Cell competition in development, homeostasis and cancer. Nature Reviews Molecular Cell Biology, 24(3), 221-236. https://doi.org/10.1038/s41580-022-00538-y
61. Hoffmann, S., Lazanski, D., & Taylor, E. (2020). Standardising the splinternet: how China’s technical standards could fragment the internet. Journal of Cyber Policy, 5(2), 239-264. https://doi.org/10.1080/23738871.2020.1805482
62. Lévy, P. (2021). Vers un changement de paradigme en intelligence artificielle. Giornale di Filosofia, 2(2). https://pierrelevyblog.com/wp-content/uploads/2022/08/vers-un-changement-de-paradigme-en-ia.pdf
63. Carter, R. (1999). Mapping the mind. University of California Press.
64. Tononi, G. (2008). Consciousness as integrated information: a provisional manifesto. The Biological Bulletin, 215(3), 216-242. https://doi.org/10.2307/25470707
65. Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
66. Stiegler, B. (2018). Automatic society, volume 1: The future of work. John Wiley & Sons.
67. Kastrup, B. (2019a). Analytic idealism: A consciousness-only ontology. Iff Books.
68. Waisberg, E., Ong, J., & Lee, A. G. (2024). Ethical Considerations of Neuralink and Brain-Computer Interfaces. Annals of Biomedical Engineering, 1-3. https://doi.org/10.1007/s10439-024-03524-x
69. Stephenson, N. (2003). Snow crash: A novel. Spectra.