What is a reliable Al system?
We want to deeply investigate the technical and algorithmic bases of such systems
The three-year mission of TUPLES is to provide new technical approaches for Planning & Scheduling
We will test our findings on real-world problems and create a test environment for future reliable P&S systems
This article opens a series dedicated to the winners of the Beluga Competition, the international challenge hosted by TUPLES and Airbus from November 2024 to April 2025.
At this year's CP2025 conference, several members of the Tuples.ai project presented three significant papers that explore various aspects of constraint programming and scheduling. These contributions demonstrate the project's commitment to developing reliable, robust, and explainable AI systems for planning and scheduling.
Our coordinator’s invited talk explored how graph-based approaches can push the boundaries of heuristic search, opening new perspectives for automated planning.
