ABM workshop: Agent-based modelling for theory development
ISEM 2019, Salzburg, Austria
Facilitators: Volker Grimm, Uta Berger
Agent-based modeling is a computational approach to analyzing the behavioral decision of adaptive agents (plants, animals, humans, institutions) and investigate the behavioral and system-level properties that emerge. The approach is widely applied in many disciplines, including ecology, geography, and economics, for both particular case studies and strategically as virtual laboratories for developing theory at agent and system levels. ABMs are thus essential tools that mechanistically complement the conceptual framework of Complex Adaptive Systems.
Date: October 1, 2019
Rationale and methodology of ABM
NETLOGO part 1 – the most common platform for developing ABM
NETLOGO part 2 – how to do doing simulation experiments
Model tests and applications
The course consists of short lectures and mainly exercises using your own Laptop and the software NetLogo. No prior knowledge on programming or modelling is required – just be open and curious! You will need to – prior to the course – download and install NetLogo: https://ccl.northwestern.edu/netlogo/6.0.4/.
Spending 1-2 hours going through the NetLogo tutorials would be useful.