Human Architectures — A Structural Framework for Regulation Under Pressure

This working paper introduces Human Architectures (AH), a low-noise descriptive framework for reading how human systems maintain continuity under load — and how continuity fails — without relying on moral, clinical, or ideological explanations. AH models a person (and their relationships) as a layered regulation system operating under constraints. The framework defines a small set of primitives observable in everyday life: buffers (stored capacity), dampers (impact reducers), bulk (slow-moving stabilizers), propagation/coupling (how impacts spread), latency (time before forced action), and valves (partial discharge pathways). Using these primitives, AH distinguishes local failure from global failure as a difference in topology: global failure emerges when multiple protective degrees of freedom collapse simultaneously. The paper also introduces a minimal method for trajectory reading: tracking small deltas over short windows to detect loss of latency, valve contamination, buffer exhaustion, and total propagation before visible rupture occurs. AH is intentionally descriptive and non-prescriptive. It does not diagnose individuals or prescribe interventions. It is intended as a structural lens for interpretation, coordination, and safer timing under constraint. Version 1.1 — structural clarification update This revision clarifies the hierarchical distinction between the deep regulatory structure (latency, buffers, valves) and the operational state interface (K/L/V/B). In this hierarchy, K is explicitly defined as the observable signal of loss of locality rather than a co-equal deep primitive. Minor editorial improvements and formatting corrections were also applied. This version replaces the earlier exploratory release (v0.1).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-09
DOI
https://doi.org/10.5281/zenodo.18654165
Primary Topic
Chaos, Complexity, and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Architectures — A Structural Framework for Regulation Under Pressure

Sebastian Katsini
Zenodo (CERN European Organization for Nuclear Research)
Chaos, Complexity, and Education
article

Human Architectures — A Structural Framework for Regulation Under Pressure

Sebastian Katsini
article en

Abstract

This working paper introduces Human Architectures (AH), a low-noise descriptive framework for reading how human systems maintain continuity under load — and how continuity fails — without relying on moral, clinical, or ideological explanations. AH models a person (and their relationships) as a layered regulation system operating under constraints. The framework defines a small set of primitives observable in everyday life: buffers (stored capacity), dampers (impact reducers), bulk (slow-moving stabilizers), propagation/coupling (how impacts spread), latency (time before forced action), and valves (partial discharge pathways). Using these primitives, AH distinguishes local failure from global failure as a difference in topology: global failure emerges when multiple protective degrees of freedom collapse simultaneously. The paper also introduces a minimal method for trajectory reading: tracking small deltas over short windows to detect loss of latency, valve contamination, buffer exhaustion, and total propagation before visible rupture occurs. AH is intentionally descriptive and non-prescriptive. It does not diagnose individuals or prescribe interventions. It is intended as a structural lens for interpretation, coordination, and safer timing under constraint. Version 1.1 — structural clarification update This revision clarifies the hierarchical distinction between the deep regulatory structure (latency, buffers, valves) and the operational state interface (K/L/V/B). In this hierarchy, K is explicitly defined as the observable signal of loss of locality rather than a co-equal deep primitive. Minor editorial improvements and formatting corrections were also applied. This version replaces the earlier exploratory release (v0.1).

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Chaos, Complexity, and Education
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.