Moon Lander Agent Attributes: Agent-Based Model for Lunar Mission Social Dynamics

An agent-based model simulating astronaut interactions for the Artemis lunar missions. The dataset likely contains attributes for the Agent_Astronaut framework, including cognitive skills, emotional states, and personality traits. It was created by Raymond Vera and published on figshare under a CC-BY-4.0 license, with a last update in May 2026.

Use Cases

• Simulating long-term psychological well-being outcomes based on the Agent_Astronaut framework's emotional states and personality traits.
• Evaluating operational resilience and team structures for lunar bases based on modeled social and environmental factor interactions.
• Analyzing trade-offs between mission productivity and crew psychology using Monte Carlo simulation results mentioned in the description.

Strengths

• Model is based on literature from extreme Earth environments, space analogs, and past missions, suggesting a grounded theoretical foundation.
• The simulation consists of tens of thousands of Monte Carlo iterations, indicating a computationally thorough analysis.
• Dataset is published under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope or a highly condensed summary of model parameters.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare

Collection Method

Agent-based modeling drawing from literature on extreme environments, space analogs, and team science theories.

Time Range

Simulates scenarios for upcoming Artemis IV and V missions in the next couple of decades.

Freshness

Last updated 2026-05-27 17:24:09; freshness should be verified.

Geography

Lunar environment, specifically the Lunar Gateway and Lunar South Pole Base.