Self Generative Systems (SGS) and Its Integration with AI Models

This article begins by exploring the concept of self-reproducing automata, as introduced by John von Neumann [1]. According to the Wikipedia entry [8], the initial studies on self-reproducing automata date back to 1940. Over the span of more than 80 years, significant advancements have been made in this field of research and development, bringing us closer to the realization of systems capable of self-reproduction, which we will refer to as self-generative systems (SGS).

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3714334.3714392
Primary Topic
Neural Networks and Applications
Type
article
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Self Generative Systems (SGS) and Its Integration with AI Models

Alex Mylnikov
Neural Networks and Applications
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Self Generative Systems (SGS) and Its Integration with AI Models

Alex Mylnikov
article en

Abstract

This article begins by exploring the concept of self-reproducing automata, as introduced by John von Neumann [1]. According to the Wikipedia entry [8], the initial studies on self-reproducing automata date back to 1940. Over the span of more than 80 years, significant advancements have been made in this field of research and development, bringing us closer to the realization of systems capable of self-reproduction, which we will refer to as self-generative systems (SGS).

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Self Generative Systems (SGS) and Its Integration with AI Models — Alex Mylnikov · (2024) | TGRS Research Map | TGRS