Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts1 . However most systems using this approach do...
Constraint propagation is the main feature of any constraint solver. This is thus of prime importance to manage constraint propagation as efficiently as possible, justifying the us...
The ability to handle exceptions, to perform iterated belief revision and to integrate information from multiple sources are essential skills for an intelligent agent. These impor...
Salem Benferhat, Souhila Kaci, Daniel Le Berre, Ma...
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
The algorithm presented here, BCC, is an enhancement of the well known Backtrack used to solve constraint satisfaction problems. Though most backtrack improvements rely on propaga...
Recently tremendous advances have been made in the performance of AI planning systems. However increased performance is only one of the prerequisites for bringing planning into th...
In the last decade, there has been several studies on the computational complexity of planning. These studies normally assume that the goal of planning is to make a certain fluent...
As AI systems make their way into the mainstream of interactive applications, usability becomes an increasingly important factor in their success. A wide range of user interface d...