MUSE: An open-source agent-based integrated assessment modelling framework

Integrated assessment models (IAMs) are a cornerstone of an effective approach to climate change mitigation. Despite the variety methodologies for characterising energy system, land use change, economics, and response, modelling community has open urgent request tools capable more realistic interpretation transition, capturing human behaviour, embodying principles transparency, reproducibility, flexibility use. This paper presents open-source framework designed fill that gap. Named MUSE (ModUlar systems Simulation Environment), this new agent-based model supports flexible characterisation agent decision-making, including individual goals, bounded-rationality, imperfect foresight, limited knowledge during decision process. integrates in partial-equilibrium enables technology-rich description with unprecedented degree technological, temporal, geographical granularity. The structure creates ability produce mitigation assessments grounded, tangible outputs conceiving approaches is available source under GNU General Public License v3.0 on GitHub at link https://github.com/SGIModel/MUSE_OS.