23 lines
1.6 KiB
Markdown
23 lines
1.6 KiB
Markdown
**PolyCode Simulator** is a research/prototyping tool for exploring how different stakeholder behaviors affect governance and resource allocation outcomes.
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More concretely:
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**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.
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In practical terms, it should do four things:
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1. **Models actors**
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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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2. **Models governance/allocation rules**
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It studies how resources, funding, influence, votes, or rewards are distributed under different mechanisms.
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3. **Runs experiments**
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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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4. **Aggregates results**
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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.
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Polycode is a **simulation laboratory for mechanism design**: a way to test governance and funding systems before deploying them in the real world.
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