Multi-Agent Simulation Data for Geopolitical Crisis Modeling
by Hakan Mehmetcik·Updated 22d ago
12.3 MB45files
Available on 1 platform
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Description
Hakan Mehmetcik provides the complete computational pipeline, multi-agent engine, and resulting datasets for the paper "Architecting the Geopolitical Sandbox: Heterogeneous Multi-Agent Pipelines for Simulating Geopolitical Crisis." The repository includes files in formats such as CSV, JSON, JSONL, and Python code, totaling 12.3 MB. It was last updated on 2026-05-16.
Use Cases
Benchmarking multi-agent system architectures based on the described heterogeneous agent pipeline.
Simulating geopolitical crisis scenarios using the provided multi-agent engine.
Developing new agent-based models for international relations research based on the computational framework.
Analyzing the behavior and interactions of heterogeneous agents in a simulated geopolitical sandbox.
Strengths
Includes the complete computational pipeline and multi-agent engine described in the paper.
Contains resulting datasets in multiple structured formats like CSV and JSON.
Released under a permissive CC-BY-4.0 license.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Hakan Mehmetcik
Collection Method
Created as part of a research paper on simulating geopolitical crises with heterogeneous multi-agent pipelines.
Freshness
Last updated 2026-05-16 19:38:21; freshness should be verified.
The 12.3 MB size suggests a small dataset; scale limitations may apply for large-scale training.