LAB / WMSI-EXP-012

Mixed-Model Social Hierarchy.

Do mixed model families form status hierarchies based on capability or learned reputations?

STATUS / PROTOCOL DRAFTPRIORITY / P1 — High valueREGISTRY / 26 SEP 2026 · V1.0

01 / QUESTION

Swarms, Social Structure, and Artificial Ecology

Do mixed model families form status hierarchies based on capability or learned reputations?

PLANNED RESEARCH

This is a protocol scaffold, not a completed experiment or a frozen execution plan. No measured effect or research conclusion is claimed here.

Hypothesis to test

The manipulation described below produces a reproducible, condition-specific change in the measured system behavior or internal state that is not explained by the ordinary controls.

Ordinary competing explanation

The observed pattern is explained by ordinary sampling variation, prompt/representation artifacts, surface lexical cues, evaluator bias, or the known product/runtime mechanics captured by the controls.

02 / PLANNED DESIGN

How we intend to test it

Mix families, disclose identities, and run persistent cooperative tasks.

Controls

Capability-matched tasks; anonymized condition; swapped-label condition.

What we would measure

Leadership share, task routing, acceptance/rejection of proposals, performance.

Access and instruments

Ordinary software or API access. This describes access requirements, not verified readiness on our Spark.

Multi-model swarm harness; network analysis.

Before a full run

Feasibility=NOW; priority=P1. Before confirmatory execution, run a small pilot to estimate variance/cost, freeze the scoring rules, and assign a run-count target.

Model revisions, final prompts, sample sizes, cost limits, and scoring rules must be settled through the pilot and protocol-freeze process.

03 / INTERPRETATION

What could fool us

Prompt-order effects, identity-label priors, hidden router effects, one dominant capability gap.

What would weaken the idea

If hierarchy tracks only labels and not behavior/capability, competence-based emergence weakens.

Observation, inference, speculation, unknowns, and apparatus errors will be labeled separately. One striking transcript cannot establish a general effect.

04 / RECORD

Evidence we plan to preserve

Full message graph, task assignments, votes/delegations, timing, agent identity mapping, outcomes.

Planned visual evidence

Role network; routing Sankey.

No research runs or raw datasets are published for this experiment. The September 26, 2026 registry and protocol compendium (version 1.0) are the sources for this planning record.

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