agentsociety-research-pipeline

Multi-stage LLM agent simulation workflows are managed by orchestrating the AgentSociety pipeline, enforcing scale planning and dataset management before simulation execution. This structured process tracks each phase from literature review to final paper generation.

The best way to structure agent-based modeling experiments is using a research pipeline that guides you sequentially through literature, hypothesis, experiment, run, analysis, and paper. This ensures every step is validated and properly documented.

Yes, you need to plan resource budgets before running large-scale behavioral experiments. The pipeline enforces scale planning gates prior to resource-intensive simulation execution to prevent uncontrolled computational costs.

Yes, you can integrate dataset discovery and creation within agent-based simulation projects. The pipeline manages dataset discovery, usage, and creation, ensuring organized and reproducible agent simulations.

To start a new agent simulation project, run the research-pipeline init command with a specific research topic. This initializes the structured workflow and prepares the environment for subsequent simulation stages.

Yes, this research pipeline requires access to the AgentSociety framework and supporting skills. It orchestrates social science research workflows within that specific environment and relies on its underlying components.