Evaluación y simulación del impacto de las políticas públicas sobre las PYMES a través del uso de modelos basados en agentes

The use of systems with ABM (Agent-based Models) foundations in order to modelling the real economy allows making useful forecast and simulations based on the attributes and behaviour of each particular agent. The MOSIPS system implements the multiagent environments from multiple both open and specific data sources. These data will build the Data Warehouse and feed the Simulations and Predictions Engine (SFE). The spatio-temporal visualization technologies will be used in order to develop an advanced user interface to support the decision-making. Furthermore, to encourage active participation of citizens in the public policy design, a module will be developed to allow the MOSIPS integration with social networks and to gather the user feedback.