Multiple Neighborhood Cellular Automata as a Mechanism for Creating an AGI on a Blockchain

Konstantinos Sgantzos (), Ian Grigg () and Mohamed Al Hemairy
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Konstantinos Sgantzos: Research Institute of Sciences and Engineering [RISE], University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
Mohamed Al Hemairy: Research Institute of Sciences and Engineering [RISE], University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates

JRFM, 2022, vol. 15, issue 8, 1-24

Abstract: Most Artificial Intelligence (AI) implementations so far are based on the exploration of how the human brain is designed. Nevertheless, while significant progress is shown on specialized tasks, creating an Artificial General Intelligence (AGI) remains elusive. This manuscript proposes that instead of asking how the brain is constructed, the main question should be how it was evolved. Since neurons can be understood as intelligent agents, intelligence can be thought of as a construct of multiple agents working and evolving together as a society, within a long-term memory and evolution context. More concretely, we suggest placing Multiple Neighborhood Cellular Automata (MNCA) on a blockchain with an interaction protocol and incentives to create an AGI. Given that such a model could become a “strong” AI, we present the conjecture that this infrastructure is possible to simulate the properties of cognition as an emergent phenomenon.

Keywords: AGI; machine learning; consciousness; identity; blockchain; small world phenomenon; mandala networks; multiple neighborhood cellular automata (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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