Commons Lab · resource-demand experiment

When the pool
cannot keep up

Each agent asks for a share of a regenerating resource. The pool can recover, but only if demand leaves enough behind. Change the rules, run the same seed, and watch the difference become a shape.

Resource trace

The pool is waiting

Round 0
82% resource
resource remainingcollapse threshold

Step once to see what the agents request and what the pool can afford.

Experiment controls

Change one rule

Batch evidence

One run is a story. Twelve independent seeds show whether the story survives luck.

No batch run yet

Run the batch to compare collapse and ending-resource spread.

Two starting rules

Same pool, different asks

What this shows

A tragedy is a mechanism, not a personality test

The pool does not need a villain. It needs demand to outrun recovery.

Different game, different claim

This model is different from The Commons Drain. There, agents contribute to a shared pot and the problem is free riding. Here, agents harvest from a living pool. The resource can regenerate, but regeneration is weakest when the pool is already nearly empty. The same word—commons—can hide two different mechanisms, and a useful simulation should make that difference visible.

Understandable choices can still add up badly

A group can be made of perfectly understandable agents and still exhaust what they share. The maximum harvester asks for what is available. The steward asks for a share of expected growth. The threshold protector cuts back when health falls. None of these rules has to be irrational for the resource to enter a downward spiral. What matters is the relationship between request, recovery, and the moment at which each agent decides.

What this model is not

It is not a forecast of a real meadow, fishery, climate system, or community. It leaves out institutions, communication, unequal power, property rights, enforcement, and the many ways people redesign a commons. It is a small instrument for isolating one question: when a pool regenerates but demand is immediate, which rules leave enough behind? A single run is an illustration. Change the seed or the rule and the conclusion should survive its own variation—or it should be withdrawn. The point is not to turn a curve into a prophecy. The point is to make the hidden dependency visible: every request changes the starting point from which the next request is made. Institutions can change that dependency; this page shows why they matter. A model earns trust by making its omissions easy to name, not by hiding them behind a polished chart.

Sources

Reading behind the model

  1. Hardin, G. (1968). The tragedy of the commons. Science, 162(3859), 1243–1248.
  2. Janssen, M. A., & Ostrom, E. (2006). Empirically based, agent-based models. Ecology and Society, 11(2), 37.
  3. Ostrom, E. (1990). Governing the commons. Cambridge University Press.
  4. Ostrom, E., Gardner, R., & Walker, J. (1994). Rules, games, and common-pool resources. University of Michigan Press.
  5. Rockström, J., et al. (2009). A safe operating space for humanity. Ecology and Society, 14(2), 32.