A philosophical and ontological perspective on Artificial General Intelligence and the Metaverse
arXiv Preprint Archive February 5, 2024 via arXiv
Summary
This paper argues that embodied artificial general intelligence (AGI) could represent a different form of consciousness with a larger computational boundary than humans. Drawing on embodied cognition, Michael Levin's concept of a 'Self,' and Donald D. Hoffman's Interface Theory of Perception, it suggests that human perceived outer reality is a symbolic representation of alternate inner states. The paper discusses the architecture needed for embodied AGI, how to calibrate its symbolic interface, and the role of the Metaverse, decentralized systems, and open-source blockchain technology. It concludes that harmony in human relations and global interconnectedness are key prerequisites for stable embodied AGI.
Study at a glance
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.