SIMOC-ABM: Agent-Based Modeling for Ecosystems
SIMOC-ABM is a Agent-Based Model (ABM) built in Python and based on a currency-exchange paradigm. It was developed for high-fidelity ecosystem simulations and includes a library of pre-built agents and configurations, but can also be used to simulate arbitrary agent-based models.
SIMOC-ABM is the ‘backend’ package of the Scalable Interactive Model of an Off-world Community (SIMOC), and is designed to work seamlessly with SIMOC-Web, a graphical user interface, and SIMOC-Live, a package for taking live readings from physical sensors.
SIMOC has been developed for specific use-cases: first to model a Mars habitat using data from NASA, and second to model the Biosphere 2 Missions using data from published literature and direct input from Biosphere 2 scientists.
Features
Built on a currency-exchange paradigm, with built-in functions for specifying in-flows and out-flows, storage and capacities, thresholds and environmental responses, and more.
Includes an agent library built on scientific literature including humans, plants, environmental control and life support systems, and more, as well as several preset configurations for functional Mars Habitats and the historic Biosphere 2 missions.
Functions as a stand-alone ABM or within the SIMOC ecosystem, which includes a graphical user interface (SIMOC-Web) and pacakge for taking live readings from physical sensors (SIMOC-Live).