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The premise of this working paper is based around agent-based simulationmodels and how to go about creating them from given incomplete information.Agent-based simulations are stochastic simulations that revolve around groupsof agents that each have their own characteristics and can make decisions. Suchsimulations can be used to emulate real life situations and to createhypothetical situations without the need for real-world testing prior. Here wedescribe the development of an agent-based simulation model for studying futuredigital mental health scenarios. An incomplete conceptual model has been usedas the basis for this development. To define differences in responses tostimuli we employed fuzzy decision making logic. The model has been implementedbut not been used for structured experimentation yet. This is planned as ournext step.

Agent-Based Simulation Modelling for Reflecting on Consequences of Digital Mental Health