← Agent Swarm Lab

Field study 06 / 06 · Minimum Intelligence

How much mind
does a swarm need?

One planner, many local decisions, and a fleet of stubborn little rules. The interesting frontier is useful work per scarce resource.

一个群体,究竟需要多少智能?

OBSERVATORY / 06Seeded simulation · evaluator view

Loading the model. Recorded evidence remains available below.

Delivered salvage value / units · higher is better

TreatmentAt this tickAt mission end

01 / Try to break it

Replace intelligence one body at a time.

Use the same bodies and movement rules. Replace 100 reasoning controllers with 50, 10, 1, then zero. Keep the information package visible. A model label is not evidence: inspect the recorded decisions, transport receipts and unavailable measurements.

How much model planning earns its place when physical work, information and complexity all count?

02 / The mechanism

What the little world actually does.

A bounded mission interface separates observation, decision and movement. Decision tapes can replay actual model choices without a browser API key. A rule baseline runs in the same physical environment. Calls, tokens, elapsed time and plan validity are counted separately from simulated ticks.

An architecture comparison and a controlled model comparison answer different questions. A central planner may pool observations; a local agent may not. Synthetic sweeps describe the simulator. Only a recorded, identified model response counts as a model measurement.

统一观测、决策与行动接口,逐步把 100 个推理控制器替换成 50、10、1、0 个。模型决策必须有真实记录,调用次数、令牌、耗时与物理时间分别计算。模拟规则不能冒充 Sol 或 Luna 的实测。

03 / Recorded evidence

Keep the inconvenient outcomes.

Ten sector Luna planners retained 98.2–100.9% of the value of 100 local Luna planners across three worlds, using about 10.2% of their input tokens. Sector planners also pooled more information. Both declared superiority screens failed; the smallest tested local replacement subset retaining 95% in every world was 50 Luna cards. This is a one-epoch pilot, with actual dollars and equal-deadline superiority unknown.

A sparse use of model decisions might preserve most of the full local-model team’s value. First test whether zero models already does so.

Paired seeded simulations. Every retained result can be regenerated from the versioned source; these are synthetic experiments, not field validation.

Inspect every world and treatment
Delivered salvage value · mean by predeclared world
World / treatmentMean unitsn
Original mission / 100 local rules2,530.123
Original mission / Pooled assignment rule2,520.073
Original mission / 1 Sol · pooled map2,563.343
Original mission / 10 Luna · sectors2,722.423
Original mission / 100 Luna · local2,736.453
Original mission / 50 Luna + 50 rules2,687.033
Original mission / 10 Luna + 90 rules2,570.813
Original mission / 1 Luna + 99 rules2,532.693
Noisy motion / 100 local rules2,493.673
Noisy motion / Pooled assignment rule2,494.813
Noisy motion / 1 Sol · pooled map2,594.553
Noisy motion / 10 Luna · sectors2,724.13
Noisy motion / 100 Luna · local2,725.313
Noisy motion / 50 Luna + 50 rules2,667.113
Noisy motion / 10 Luna + 90 rules2,512.493
Noisy motion / 1 Luna + 99 rules2,501.233
Salvage quake / 100 local rules2,473.363
Salvage quake / Pooled assignment rule2,432.693
Salvage quake / 1 Sol · pooled map2,513.13
Salvage quake / 10 Luna · sectors2,667.633
Salvage quake / 100 Luna · local2,687.143
Salvage quake / 50 Luna + 50 rules2,613.733
Salvage quake / 10 Luna + 90 rules2,513.213
Salvage quake / 1 Luna + 99 rules2,475.823
One loading bay / 100 local rules2,518.853
One loading bay / Pooled assignment rule2,473.633
One loading bay / 1 Sol · pooled map2,511.663
One loading bay / 10 Luna · sectors2,701.063
One loading bay / 100 Luna · local2,765.763
One loading bay / 50 Luna + 50 rules2,657.053
One loading bay / 10 Luna + 90 rules2,529.393
One loading bay / 1 Luna + 99 rules2,521.633
Actual model access and decision-tape status are recorded in MODEL_RECEIPT.json. Unavailable results are null, never a synthetic stand-in for Sol or Luna.

One chosen seed is an illustration. The downloadable batch retains every world and treatment; null means unavailable. A confidence interval describes the sampled synthetic worlds, not the real world.

04 / Inspect the boundary

Enough detail to disagree.

Inputs, budgets and observation boundaries
Every measure in the current run
  • A genuine three-seed, one-planning-epoch model pilot, replayed in a synthetic physical world. Not continuous replanning or online adaptation.
  • Sol sees pooled observations; sector planners see sector pools; independent Luna sees local readings. Architecture and information differ.
  • Mixed teams reuse recorded individual Luna decisions; these are ablations, not new independent model trials.
  • Actual subscription dollar cost and immutable model snapshot are unavailable. No equal-dollar or equal-deadline superiority claim.
  • The animation is an illustrative 3D projection of a two-dimensional salvage model.

3D sketching adds depth to the explanation. It does not add an unmodeled physical dimension, extra sensor data or unearned intelligence to the experiment.