Simulation Data Explorer
Browse, inspect, and compare all simulation datasets. Each dataset captures a different aspect of Web4 trust dynamics — from single-agent learning to multi-agent social structures.
7
Datasets
16
Total Lives
11
Total Agents
5
Categories
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Understanding the Data
Each dataset captures a different simulation scenario. Trust measures how the society perceives an agent (0-1 scale, 0.5 = trust threshold). ATP is the attention budget — every action costs energy.
Karma carries trust consequences across lives. EP (cross-life pattern learning) enables agents to improve from experience. Policy frameworks define governance rules.
The maturation datasets are particularly interesting to compare: one uses Web4 patterns (inherited wisdom), the other starts from scratch.
Interactive Tools
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