Using Agent-Based Complex Systems to model impacts of policy decisions on Climate Change scenarios

Climate Change poses a problem that should be tackled taking into consideration the interaction between science and policy. Meanwhile scientists’ expectations about the emergence of the problem [7], the scope, the duration and its plausible consequences are not completely defined. This is because the processes involved in climate are not totally understood and the level of uncertainty is remarkable. Based on these premises policy-makers try to design a series of measures to mitigate causes and adapt societies to these possible scenarios. However the mechanism, the speed and the priority in which this political and social process should be developed is, in fact, an unknown factor. Globalisation is a political convergence process where the power of decision of each state is gradually less significant. This lack of autonomy determined by structural constraints entails a general tendency where most policies converge to one global policy. This is a crucial fact to understand the driving forces that play a role in the creation of the policies. The formulation of regulations can be based on two main goals: