Résumé
The paradigm of constraint reasoning, aims at creating computerized solution models to tackle combinatorial search problems. The methodology and principles of such models are based on relationships among data and variables, specified as constraints that must hold for a solution to solve a decision or optimization problem. The relationships can be dependencies of any kind: geographical, engineering, environmental, or economic. Constraint models have been developed to this date to provide proactive analysis of some climate change issues, such as investment planning in renewable energies over a given horizon. The challenge of computerized constraint solution models is their reliability and effectiveness to become real world implementations. This is feasible if : 1) the modeling approach taken is holistic and specifies the complexity of real world scenarios, and 2) the users feel involved and become actual actors in the decision process. Constraint models facilitate a holistic approach by focusing on the solution model, and allowing heterogeneous data, variables and constraint types to be modeled independently of their solving. In this article we give an overview of such approaches to foster the implementation of climate change solutions.