Gateway Agent Attributes: Agent-Based Model for Lunar Mission Astronauts

Raymond Vera created an agent-based model simulating astronaut interactions for the Artemis program's Lunar Gateway and South Pole Base missions. The model, published on figshare in May 2026, uses a framework with cognitive, emotional, and personality traits to explore mission outcomes. Monte Carlo simulations consisting of tens of thousands of iterations analyze trade-offs in productivity and psychological well-being.

Use Cases

• Evaluate operational resilience of lunar mission teams based on simulated social interactions.
• Analyze workload dynamics and team structures based on the Agent_Astronaut framework with cognitive and emotional states.
• Model the long-term effects of human factors in space based on exogenous and endogenous factors described in the simulation.
• Assess trade-offs between productivity and psychological well-being based on Monte Carlo simulation results.

Strengths

• Model is grounded in literature on proxy environments like Antarctica and past space missions.
• Simulation includes tens of thousands of Monte Carlo iterations for analysis.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Agent-based modeling simulation drawing from literature on extreme environments and team science.

Time Range

Simulates upcoming Artemis IV (Lunar Gateway) and Artemis V (Lunar South Pole Base) missions.

Freshness

Last updated 2026-05-27 17:24:07; freshness should be verified.

Geography

Lunar environment (Gateway and South Pole).