Project case study · Learning design · experimental evidence
Emergence Lab
Predict, watch, change a rule, and look again. Emergence Lab turns a world of simple agents into a sequence of experiments about collective behavior.
When a trail outlives its purpose.
The food has moved. How long does the old signal remain?
More memory preserves a useful signal longer—and lets an obsolete one linger. This companion illustrates signal decay, not agent behavior.
The question
How do you teach a pattern that nobody is directing?
A swarm is easy to watch and surprisingly hard to explain. Emergence Lab invites learners to make a prediction before running a world, then connect its patterns to the local actions that produced them.
The lessons progress from observation to parameter tuning and matched experiments. A changing food location makes path dependence visible: a once-useful trail can keep attracting agents after it stops helping.
The system
What holds it together
Prediction before explanation
Learners state what they expect, test a rule, and defend a claim using observed outcomes.
See the local actions
The Emergence Lens counts agents exploring, following trails, and seeking food.
Return to a moment
The Time Machine reconstructs observed states from deterministic checkpoints.
Test another world
A three-world stress test makes it possible for a promising rule to fail to generalize.
How it moves
From watching to investigating
Each level adds a way to ask a sharper question.
- Notice
Watch a path become a trap
Observe what happens after food moves while the old trail remains.
- Change
Choose a rule and predict
Test a bounded intervention and compare its consequences with your expectation.
- Tune
Hold the world still
Change exploration, trail pull, or trail memory while keeping the seed and other rules fixed.
- Compare
Look for interactions
A matched two-by-two experiment examines whether combined rule changes amplify or interfere with one another.
Observation to factorial experiments
A gradual increase in agency
Revisit observed states
From sandbox to lesson
Curiosity needs something to push against
Emergence Engine offers an open sandbox. Emergence Lab is a distinct educational adaptation: carefully sequenced questions, controlled changes, and evidence a learner can revisit.
A grounded tutor in the source project receives a bounded evidence context. The lesson still has value when the learner disagrees with a prediction or finds that a rule works in only some worlds.
Nearby in the constellation