Constraint Programming Winter School
Topic outline
-
General
-
If you continue to work on the labs and you have questions, you can push your code in the lab so we can access it and contact us:
- Hadrien: hadrien.cambazard@grenoble-inp.fr
- Arnaud: arnaud.malapert@univ-cotedazur.fr
- Charles: charles.prudhomme@imt-atlantique.fr
-
Our planet has limits, and some people are lacking access to life’s essentials, as pointed out by Kate Raworth’s doughnut. Ensuring that planet and social limits are not over-passed may be viewed as a constraint satisfaction problem, and we may even add an objective function to maximize welfare or minimize resource consumption, for example. So, the question addressed in this talk is: can we use CP to model and solve these problems? In a first part, we study the direct impacts of ICTs (Information and Communication Technologies) on our planet’s boundaries, as CP widely uses ICTs. In a second part, we address the question of defining relevant CP model to ensure that planet and social boundaries are not overpassed. We first study the DICE model designed by William Nordhaus and for which he received the 2018 Nobel prize in economic science « for integrating climate change into long-run macroeconomic analysis ». We study the hypothesis underlying this constrained optimization model and discuss their relevancy. Then, we study rebound effects, that explain why total consumption often increases when improving efficiency, and we illustrate this on examples that involve solving constrained optimization problems.