Rover Agent Attributes: Agent-Based Model for Lunar Mission Astronaut Simulation

Raymond Vera created an agent-based model simulating astronaut interactions for the Artemis program. The model uses an Agent_Astronaut framework with cognitive, emotional, and personality traits to explore mission outcomes. The dataset, last updated in 2026, is a 5.5 KB Excel file containing the agent attributes for this simulation.

Use Cases

• Simulating long-term psychological well-being and productivity trade-offs based on the Agent_Astronaut framework.
• Evaluating operational resilience and team structures for lunar bases based on simulated social and environmental interactions.
• Analyzing the impact of personality traits and cognitive skills on mission outcomes in isolated, extreme environments.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The underlying model is informed by literature on proxy environments and team science theories.
• The model was tested with Monte Carlo simulations consisting of tens of thousands of iterations.

Limitations

• The 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

Raymond Vera via figshare.

Collection Method

Created for an agent-based model (ABM) simulation of the Artemis program.

Freshness

Last updated 2026-05-27 17:24:04.

Geography

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