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PolyCode Simulator is a research/prototyping tool for exploring how different stakeholder behaviors affect governance and resource allocation outcomes.
More concretely:
PolyCode Simulator is a Python simulation system where different types of agents, especially investors and voters, follow configurable strategies. These agents interact inside a modeled governance or allocation environment. By changing parameters repeatedly, the simulator can explore many scenarios and collect KPIs that show how well different governance/allocation mechanisms perform.
In practical terms, it should do four things:
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Models actors Investors may allocate capital, back proposals, seek returns, or influence outcomes. Voters may support proposals, delegate votes, behave strategically, or vote based on preferences.
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Models governance/allocation rules It studies how resources, funding, influence, votes, or rewards are distributed under different mechanisms.
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Runs experiments Parameter sweeps mean it systematically varies assumptions such as number of voters, investor behavior, voting rules, capital distribution, turnout, strategy mix, incentives, or governance thresholds.
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Aggregates results KPI aggregation means it summarizes outcomes across runs, for example efficiency, fairness, concentration of power, proposal success rate, capital allocation quality, voter satisfaction, resilience, or strategic exploitability.
Polycode is a simulation laboratory for mechanism design: a way to test governance and funding systems before deploying them in the real world.