Recursive Substrate Co-Design: A Research Proposal for Successive Machine-Designed Computational Substrates

Recursive Substrate Co-Design (RSCD) is a conceptual research proposal for a generational loop in which machine-designed computational substrates become native training environments for successor systems, which in turn design subsequent substrates. This Version 0.1 record contains the paper, editable source, and publication package, alongside a linked public exploratory prototype. RSCD is not peer-reviewed and has not been experimentally validated. The included Generation Zero code is a toy simulation for exploration; it is not evidence of substrate-native learning, physical hardware performance, or intergenerational improvement.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23059930
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Recursive Substrate Co-Design: A Research Proposal for Successive Machine-Designed Computational Substrates

David Holbert
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
article

Recursive Substrate Co-Design: A Research Proposal for Successive Machine-Designed Computational Substrates

David Holbert
article en

Abstract

Recursive Substrate Co-Design (RSCD) is a conceptual research proposal for a generational loop in which machine-designed computational substrates become native training environments for successor systems, which in turn design subsequent substrates. This Version 0.1 record contains the paper, editable source, and publication package, alongside a linked public exploratory prototype. RSCD is not peer-reviewed and has not been experimentally validated. The included Generation Zero code is a toy simulation for exploration; it is not evidence of substrate-native learning, physical hardware performance, or intergenerational improvement.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 22%
Advanced Memory and Neural Computing
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