Lunar Base ABM: Agent-Based Model for Astronaut Social Interactions

An agent-based model simulating social interactions and human factors for future lunar missions under the Artemis program. The model, created by Raymond Vera, uses a Monte Carlo approach with tens of thousands of iterations to explore trade-offs in productivity and psychological well-being. The dataset was last updated on 2026-05-27 and is shared under a CC-BY-4.0 license.

Use Cases

• Simulating long-term effects of human factors on mission outcomes based on the described Agent_Astronaut framework.
• Evaluating operational resilience and team structures for lunar bases based on the model's scenario cases.
• Analyzing trade-offs between crew productivity and psychological well-being using the Monte Carlo simulation results.

Strengths

• Model is based on literature from proxy environments like Antarctica and past space missions.
• Simulations consist of tens of thousands of Monte Carlo iterations.
• The Agent_Astronaut framework includes cognitive skills, emotional states, and personality traits.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope.
• Row count and column-level documentation are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Raymond Vera via figshare

Collection Method

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

Freshness

Last updated 2026-05-27 17:24:16; freshness should be verified.

Geography

Simulated lunar environment (Artemis IV Lunar Gateway and Artemis V Lunar South Pole Base scenarios).