Modelling socio-ecological systems with MAIA: A biogas infrastructure simulation

Reinier Verhoog, Amineh Ghorbani, Gerard P.J. Dijkema
2016 Environmental Modelling & Software  
Similar to other renewable energy technologies, the development of a biogas infrastructure in the Netherlands is going through social, institutional and ecological evolution. To study this complex evolutionary process, we built a comprehensive agent-based model of this infrastructure. We used an agent-based modelling framework called MAIA to build this model with the initial motivation that it facilitates modelling complex institutional structures. The modelling experience however proved that
more » ... IA can also act as an integrated solution to address other major modelling challenges identified in the literature for modelling evolving socio-ecological systems. Building on comprehensive reviews, we reflect on our modelling experience and address four key challenges of modelling evolving socioecological systems using agents: (1) design and parameterization of models of agent behaviour and decision-making, (2) system representation in the social and spatial dimension, (3) integration of sociodemographic, ecological, and biophysical models, (4) verification, validation and sensitivity analysis of such ABMs.
doi:10.1016/j.envsoft.2016.03.011 fatcat:4oxyqzqc45cpxi5o3bgjjznwpa