Coding cycles and population persistence in a self-interpreting artificial chemistry

Yomitsugi is a minimal artificial chemistry for investigating heredity when a description is copied faithfully but the machinery that interprets it is reconstructed in each generation. Reading a fixed description produces the next key–value reader, connecting three aspects of inheritance: available symbols, their interpretation, and continued reproduction. Under exact matching, complete readers can enter alternative coding cycles while preserving every symbol and maximal decoding information. Exhaustive enumeration through eight symbols identifies periods up to 192. Under noisy reading, an exact identity based on a matrix permanent shows that native and alternative complete codes have equal immediate probabilities of losing output values or complete key–value structure. Resource-sharing populations with three symbols maintain alternative cycles over the simulated observation period while occasionally reconstructing the native code. An exact binary reduction identifies conditions under which repertoire loss makes extinction unavoidable even without resource restriction. An occupation-time decomposition also shows that long serial lifetimes can consist largely of activity after repertoire loss. Matched interventions exchange existing values while preserving population size, resources, positional symbol inventories, and the first-sweep demographic law, yet alter subsequent reconstruction and persistence. Comparisons with exact unrestricted predictions show that resource restriction can substantially reduce continued population and repertoire presence even when native reconstruction is common. In the binary model, small output mutation restores communication between repertoire classes and produces a square-root splitting at their spectral crossing. Together, these results show how the inherited organization of interpretation shapes reproductive outcomes within a self-interpreting artificial chemistry.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23687737
Primary Topic
Cellular Automata and Applications
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Coding cycles and population persistence in a self-interpreting artificial chemistry

Ryotaro Saito
3 links
Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
preprint

Coding cycles and population persistence in a self-interpreting artificial chemistry

Ryotaro Saito
preprint en

Abstract

Yomitsugi is a minimal artificial chemistry for investigating heredity when a description is copied faithfully but the machinery that interprets it is reconstructed in each generation. Reading a fixed description produces the next key–value reader, connecting three aspects of inheritance: available symbols, their interpretation, and continued reproduction. Under exact matching, complete readers can enter alternative coding cycles while preserving every symbol and maximal decoding information. Exhaustive enumeration through eight symbols identifies periods up to 192. Under noisy reading, an exact identity based on a matrix permanent shows that native and alternative complete codes have equal immediate probabilities of losing output values or complete key–value structure. Resource-sharing populations with three symbols maintain alternative cycles over the simulated observation period while occasionally reconstructing the native code. An exact binary reduction identifies conditions under which repertoire loss makes extinction unavoidable even without resource restriction. An occupation-time decomposition also shows that long serial lifetimes can consist largely of activity after repertoire loss. Matched interventions exchange existing values while preserving population size, resources, positional symbol inventories, and the first-sweep demographic law, yet alter subsequent reconstruction and persistence. Comparisons with exact unrestricted predictions show that resource restriction can substantially reduce continued population and repertoire presence even when native reconstruction is common. In the binary model, small output mutation restores communication between repertoire classes and produces a square-root splitting at their spectral crossing. Together, these results show how the inherited organization of interpretation shapes reproductive outcomes within a self-interpreting artificial chemistry.

Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon