Agent-based Policy Simulation

EU-funded [FP7] project

Agent-based simulation of policy making in highly interactive dynamic systems This project is introducing a dynamic simulation framework to simulate and optimize decisions and policies. A hybrid (continuous & discrete) simulation core is used for the calculation of the interactive effects of heterogeneous actors. After the system is calibrated using learning algorithms, various scenarios are captured in a data model. The calibrated system is used as a decision support system for optimal policy making. [Read More]