Exploring the impact of innovation policies in economic environments with self-regulating agents in multi-level complex systems

Abstract

This work aims at exploring the possibilities offered by agent-base modelling techniques in explaining the mechanisms underlying the outreaching effects of policy measures and a platform in support of policy evaluation. This aim is accomplished by modelling and simulating the organisations' and systems' reactions through the implementation of alternative strategies. In order to validate and showcase the application of agent-based modelling as a policy impact assessment tool, the team has concentrated its effort on the agro-food domain of the Puglia Region of Italy. This paper provides a first evaluation of the application of a legal framework fostering organic products and reducing the OGM goods.