EXP-RNS-G0

informative

Ratchet Null (single-agent null model) — G0

2026-03-27 L6 level paper3 4 runs $0.01

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In plain language

This experiment tested a basic scenario with just one artificial agent acting alone over 30 rounds. The goal was to see if this agent could learn anything useful on its own. However, the experiment didn't have enough agents to draw any conclusions or make predictions.

What we found

UNDERPOWERED (N=1): No predictions scored

Predictions we made before running

0/1 confirmed

▶ Technical details

Research hypothesis

G0 of single-agent null model. 1 agent(s) × 30 rounds.

Experimental setup

Type: single_condition

Condition	Parameters
G0_NULL	persona: PERSONA, interaction: SOLO

Factors: persona (PERSONA) × interaction (SOLO)

Parameters

n_agents: 1
n_rounds: 30
model: gemini-2.5-flash-lite
temperature: 0.9
scheduler: round_robin

Trophic Ratios by Condition

Mean trophic ratio per agent across runs. Error bars = ±1 std dev. Higher TR = more upstream (exporter).

Series (4 experiments)

exp-rns-g1

exp-rns-g2

exp-rns-g3