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Example Scenarios

Community Policy Impact — 8 villagers face a new water rationing policy. The farmer resists, the mayor defends, the priest mediates, the technologist proposes solutions. Who forms coalitions? Who complies?

Market Price Shocks — 10 marketplace agents react when grain prices double overnight. Sellers profit, buyers protest, regulators intervene. Economic reasoning emerges from personality-driven agents.

Information Cascades — 12 agents in 4 social groups. A rumor starts with one person. Watch it spread (or not) through the social graph, distorted by each personality along the way.

See evaluation/ for repeatable scenarios with expected behaviors and quality criteria.

Available scenarios

ScenarioFocus
water-rationingCommunity policy impact, governance agent
price-shockMarket dynamics, economic reasoning
rumor-spreadInformation cascades across social groups
village-realisticPerception layer, location and senses
enclosure-animalsAnimal needs, non-agent entities
office-floorWorkplace dynamics with perception

Run evaluation:

bash
npm run eval
npm run eval:realistic
npm run eval:compare-perception

Released under the MIT License.