Bullock, Seth. “Alife as a Model Discipline for Policy-Relevant Simulation Modelling: Might Worse Simulations Fuel a Better Science-Policy Interface?.” In Artificial Life Conference Proceedings 13 , pp. 28-29. One Rogers Street, Cambridge, MA 02142-1209 USA journals-info@ mit. edu: MIT Press, 2016.
URL1 URL2
Policy-relevant scientific models are typically expected to make empirically valid predictions about policy-relevant problems. What are the consequences of shaping our science-policy interface in this way? Here, it is argued that the theoretically insecure simulation modelling pioneered within artificial life is emblematic of an important alternative approach with significance for policy-relevant modelling.