In recent years, the European Commission (EC) has emphasized inclusive and sustainable governance policies, to offer solutions to the problems that arise in the relationship between science and society. With Horizon 2020’s and transversal programs like the Science with and for Society (SwafS) a new approach to research and innovation is born: Responsible Research and Innovation (RRI). One of the most critical challenges of the SwafS is “modeling and better understanding the dynamics of complex networks of innovation value chains and the openings they provide for RRI.” The I AM RRI project responds to this call. In this paper we present an agent-based model in which innovation networks in the context of Additive Manufacturing are created, evolve, and interact to spread RRI knowledge and practices throughout the system. Agents are characterized by specific knowledge domains, depending on the industry sector in which they operate, and seek to participate in innovation networks to define better or support an innovative idea. Moreover, their decisions are not only economic-based but are constrained by aspects of RRI. In our model three RRI keys identified by the EC are implemented in the model: public engagement, open access, and ethical thinking. An initial set of experiments and analysis will be presented here to analyze the impact of agents’ RRI knowledge and inclinations on their interactions and the economic, strategic, and social performance of the whole innovation system.