Average Coping Capacity Statistics from a Lunar Base Agent-Based Model

A small dataset of 5.5 KB containing simulation results from an agent-based model of astronaut social interactions for 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 data was last updated on 2026-05-27.

Use Cases

• Analyzing trade-offs between crew productivity and psychological well-being based on Monte Carlo simulation results
• Evaluating operational resilience and team structures for lunar missions based on simulated social interactions
• Studying the impact of cognitive skills, emotional states, and personality traits on mission outcomes as described in the Agent_Astronaut framework

Strengths

• Data is licensed under CC-BY-4.0, allowing for broad reuse and sharing.
• The underlying model is described as using tens of thousands of Monte Carlo iterations, suggesting a thorough exploration of parameter space.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or summary-level statistics.
• Row count and column-level documentation are unknown, which limits assessment of data structure and granularity.
• The description is highly focused on the modeling methodology; the specific contents of the XLS file are not detailed.

Provenance

Source

Raymond Vera via figshare

Collection Method

Output from an agent-based model simulation of astronaut interactions for the Artemis program.

Freshness

Last updated 2026-05-27 17:24:19

Geography

Simulated lunar environment (Lunar Gateway and Lunar South Pole Base)