From Assembly to Autonomy: A Structure–Information–Cohesion–Transformation Research Programme for the Transition from Chemical Complexity to Self-Maintenance

Assembly theory (AT) quantifies how much historically contingent construction is needed to produce an object. This working paper asks a complementary question: under what organizational conditions does a chemically complex system become capable of active self-maintenance, heritable information processing and adaptive change? It adapts the S·I·C·T diagnostic heuristic (Structure, Information, Cohesion, Transformation) and its provisional viability relation S + C ≥ I + T to prebiotic chemistry. Version 1.1 is a validated revision of the v1.0 discussion draft. Every reference was checked against its source, the critiques of AT are balanced by the authors' published replies, and closely related prior frameworks are added (Gánti's chemoton, autopoiesis, RAF sets, closure of constraints). Two new computations are reported. (i) A sensitivity analysis shows the illustrative viability verdict reverses when the weight on a single variable departs from unity by roughly 20%, making commensurability the framework's binding constraint. (ii) A toy chemostat model shows the draft's single-perturbation cohesion proxy ranks a redundantly closed autocatalytic network lowest of three wiring classes, although its organized state depends most on its catalytic relations. Cohesion is therefore split into dependence and fragility, and a pre-registered simulation protocol with four falsification criteria (F1–F4) is specified. The contribution is a research programme, not a validated theory. The deposit includes the paper (PDF) and the LaTeX, figure and simulation source.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23689680
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Assembly to Autonomy: A Structure–Information–Cohesion–Transformation Research Programme for the Transition from Chemical Complexity to Self-Maintenance

Miklós Róth
Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
article

From Assembly to Autonomy: A Structure–Information–Cohesion–Transformation Research Programme for the Transition from Chemical Complexity to Self-Maintenance

Miklós Róth
article en

Abstract

Assembly theory (AT) quantifies how much historically contingent construction is needed to produce an object. This working paper asks a complementary question: under what organizational conditions does a chemically complex system become capable of active self-maintenance, heritable information processing and adaptive change? It adapts the S·I·C·T diagnostic heuristic (Structure, Information, Cohesion, Transformation) and its provisional viability relation S + C ≥ I + T to prebiotic chemistry. Version 1.1 is a validated revision of the v1.0 discussion draft. Every reference was checked against its source, the critiques of AT are balanced by the authors' published replies, and closely related prior frameworks are added (Gánti's chemoton, autopoiesis, RAF sets, closure of constraints). Two new computations are reported. (i) A sensitivity analysis shows the illustrative viability verdict reverses when the weight on a single variable departs from unity by roughly 20%, making commensurability the framework's binding constraint. (ii) A toy chemostat model shows the draft's single-perturbation cohesion proxy ranks a redundantly closed autocatalytic network lowest of three wiring classes, although its organized state depends most on its catalytic relations. Cohesion is therefore split into dependence and fragility, and a pre-registered simulation protocol with four falsification criteria (F1–F4) is specified. The contribution is a research programme, not a validated theory. The deposit includes the paper (PDF) and the LaTeX, figure and simulation source.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Origins and Evolution of Life
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