Interventions on Contextualized Decision Making: an Agent-Based Simulation Study

Abstract

We present an agent-based model that uses the concept of social practices to model contextualized decision making. We use simulations to show that such a model can give insight in (1) the limited success of interventions that target intentions rather than context and (2) which interventions on context might work. We end this thesis by discussing the relevance of these insights for policy makers and pointing out crucial gaps in knowledge that should be picked up in further work.