What problem does it solve?
This Skill aids researchers in managing complex hypotheses, experiment groups, and simulation configurations for AgentSociety.
Core Features & Use Cases
- Hypothesis Definition: Structure and manage research hypotheses with descriptions and rationales.
- Experiment Group Configuration: Define control and treatment groups with detailed specifications.
- Module and Class Discovery: Identify required agent classes and environment modules through scanning.
- Automated Experiment Setup: Generate
SIM_SETTINGS.json for smooth simulation execution.
- Topic and Literature Sync: Maintain alignment with the broader research topic and literature.
- Pipeline Integration: Seamlessly integrate with the AgentSociety research pipeline.
- Use Case: A social scientist wants to study the impact of social capital on economic decisions. This Skill will help define the hypothesis, set up experiment groups, and ensure proper configuration for simulations.
Quick Start
Use the agentsociety-hypothesis skill to define a new hypothesis for a social simulation study. Run the command: agentsociety-hypothesis add --description "Impact of social capital on economic decision-making" --rationale "Social capital is crucial in forming social bonds" --groups '{"name":"high_social_capital_group","group_type":"treatment","description":"Agents with high social capital scores"},{"name":"low_social_capital_group","group_type":"control","description":"Agents with low social capital scores"}' --agent-classes PersonAgent --env-modules SimpleSocialSpace EconomySpace.
