We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
A binary constraints network consists of a set of n variables, defined on domains of size at most d, and a set of e binary constraints. The binary constraint satisfaction problem ...
The NP-hard Interval Constrained Coloring (ICC) problem appears in the interpretation of experimental data in biochemistry dealing with protein fragments. Given a set of m integer...
Christian Komusiewicz, Rolf Niedermeier, Johannes ...
The Open-Shop Problem is a hard problem that can be solved using Constraint Programming or Operation Research methods. Existing techniques are efficient at reducing the search tree...
: In real life scenarios there is often the need for modelling conditional plans where external events determgine the actual execution sequence. Conditional Temporal Problems (CTPs...
Marco Falda, Francesca Rossi, Kristen Brent Venabl...