Lunar Base ABM: Agent-Based Model Results for Astronaut Team Dynamics

Raymond Vera created an agent-based model simulating social interactions and mission outcomes for future lunar bases under the Artemis program. The model uses a Monte Carlo approach with tens of thousands of iterations to explore trade-offs in productivity and psychological well-being. The dataset, last updated on 2026-05-27, contains simulation output data in an XLS format with a file size of 5.5 KB.

Use Cases

• Evaluate operational resilience of lunar mission crew structures based on simulated social interactions.
• Analyze trade-offs between team productivity and psychological well-being based on Monte Carlo simulation results.
• Model the impact of exogenous and endogenous factors on mission sustainability using the Agent_Astronaut framework.

Strengths

• Model is grounded in literature on extreme environments, space analogs, and team science theories.
• Simulation results are based on tens of thousands of Monte Carlo iterations.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope or highly aggregated results.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Freshness should be verified as the last update date is in the future (2026-05-27).

Provenance

Source

Raymond Vera via figshare

Collection Method

Output from an agent-based model (ABM) simulation.

Freshness

Last updated 2026-05-27 17:24:14; freshness should be verified.

Geography

Simulated lunar environment (Artemis program lunar base).