Play Darkly is a systems pressure engineering lab and imprint, building bounded interactive systems, and producing formal notes for studying pressure, distortion, and harm propagation in digital systems.
This is a Research project page.
Running in parallel_
PlayDarkly Research Series
01 — Information Failure Modes in Networked Violence
02 — Evolutionary Control Theory
03 — (Summer 2026)
02 — Evolutionary Control Theory
“The extension is therefore precise: in some networked harm systems, archival persistence is not downstream of reproduction.
It is part of the selecting boundary itself.”
https://doi.org/10.5281/zenodo.19881089
This working paper presents Evolutionary Control Theory as a preliminary formal systems framework for analyzing persistence, decay, and reproduction in adaptive networked harm systems.
Play Darkly is running an in-silico study on traumatic media reception, evidence orientation, and contextual framing. The work is bounded, and offline.
This work does not offer policy prescription, moral commentary, or implementation-level intervention guidance.
2026/05/14-20 Tribe v2 Test 1.0 Validation Laundering in Trauma-Exposed Civilian Evidence Networks
Object:
A civilian investigative network operating around extreme animal-abuse material, platform evidence, and transnational exploitation claims.
Pressure:
High-affect exposure creates urgency, identity fusion, and moral exceptionalism. Under those conditions, ordinary governance requirements can be reclassified as obstruction: audit, verification, corporate transparency, financial disclosure, data provenance, and evidentiary chain of custody are treated as secondary to the cause.
Failure mode:
Sincerity does not prevent contamination. A network may begin from genuine concern, but repeated exposure to traumatic material can shift the center of action away from the harmed animal and toward the witness group’s own unbearable state.
Operational consequence:
The true exploitation infrastructure may remain untouched because attention is routed into the validated civilian narrative rather than into payment channels, production pathways, platform affordances, commissioning behavior, offender logistics, and lawful evidence transfer.
Test condition:
A network fails this test when moral urgency is used to bypass verification controls.
Evolutionary Control Theory (Elijah Morgan, 2026)
02 — Evolutionary Control Theory
The paper formalizes a systems framework for analyzing persistence, decay, and reproduction in adaptive networked systems. Its central object is selection under boundary conditions: what persists, what degrades, what reproduces, and what remains unaffected when downstream harm is not coupled back into the boundary that governs yield.
02 — Evolutionary Control Theory
The first release is published on Zenodo 2026/04/29 Morgan, Elijah. Evolutionary Control Theory: Boundary-Coupled Selection, Archival Prestige, and Harm Persistence in Networked Systems. https://doi.org/10.5281/zenodo.19881089
02 — Evolutionary Control Theory
This is not a completed empirical theory. It is a working formal framework. Its purpose is to clarify how harmful strategies can remain viable even when their consequences are visible, documented, or condemned. The relevant question is not whether harm is recognized. The relevant question is whether harm changes the selection surface that allows the behavior to reproduce.
02 — Evolutionary Control Theory
2026/05 Alongside this Play Darkly is evaluating TRIBE v2 as a possible measurement layer for one part of the framework. ‘Tribe v2 offers unprecedented speed, accuracy, and a 70x resolution increase as compared to similar models to predict how the brain responds to almost any sight or sound: https://aidemos.atmeta.com/tribev2‘
02 — Evolutionary Control Theory
TRIBE v2 will be evaluated as a bounded in-silico comparison layer for media-variant testing, comparing whether controlled changes in anchoring, captioning, chronology, salience, and framing produce systematic differences in model-predicted cortical proxy profiles.
Tribe v2 acts as a digital twin of human neural activity, enabling neuroscientists and clinical researchers to test theories without requiring human subjects.
In this framework, TRIBE v2 functions only as a proxy instrument for stimulus pressure under fixed model assumptions. It does not function as a general theory of cognition, a substitute for empirical neuroscience, or a proof layer for the broader theorem.
Working Papers:
2026/04/29 Morgan, Elijah. Evolutionary Control Theory: Boundary-Coupled Selection, Archival Prestige, and Harm Persistence in Networked Systems. Zenodo. https://doi.org/10.5281/zenodo.19881089
Canonical Notes:
2026/02/16 Play Darkly. (2026). Structural Coupling as a Stability Condition in Gradient-Optimized Systems (Version 0.1). Codeberg. https://codeberg.org/PlayDarkly/structural-coupling-stability/src/branch/main/docs/tofs-v0.1.m https://codeberg.org/PlayDarkly/structural-coupling-stability