Procela: Epistemic Governance in Mechanistic Simulations Under Structural Uncertainty

1. 1Identify sources of structural uncertainty in mechanistic simulations
2. 2Implement Procela to maintain complete hypothesis memory and manage epistemic authorities
3. 3Use Procela to integrate multiple ontologies and resolve conflicts
4. 4Evaluate the performance of Procela in simulations under uncertainty

Researchers and engineers working on complex simulations, such as those modeling antimicrobial resistance spread, can benefit from Procela to manage uncertainty and competing ontologies

💡 Procela enables the management of structural uncertainty in simulations by maintaining complete hypothesis memory and integrating multiple ontologies

🚀 Procela: a Python framework for epistemic governance in mechanistic simulations under uncertainty