Network thinking and agent-based modeling (ABM) are ways to conceptualize complexity in the phenomena we observe. The main objective is to approach phenomena with a complexity lens and understand how current behaviors and patterns emerge using network models and agent-based models. In this regard, network and agent-based models provide the logic to tackle the complexity of adaptive systems, in the context of business (e.g. innovation and entrepreneurship). The course covers the following topics: Introduction to systems and complexity. Introduction to networks. Introduction to agent-based modeling. Modeling Diffusion dynamics. Application of complexity on timely topics such as sustainability.
Ore didattica frontale: 36
Ore di laboratorio: -
Obbligo di frequenza: Recommended, but not required.