This thesis focuses on the combination of agent based modelling and Bayesian network. These techniques are used to see if this is a viable way of modelling green markets, like the heat pump market. These markets can change quickly. The combination of the techniques gives the investors in the model the ability to learn from new information during the model and change their strategy or decision upon this. The outcomes show that this is a promising combination and future research should be done to further explore the possibilities.