The ability to automatically compose Web Services is critical for realising more complex functionalities. Several proposals to use automated planning to deal with the problem of s...
To improve solution robustness, we introduce the concept of super solutions to constraint programming. An (a, b)-super solution is one in which if a variables lose their values, th...
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...
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...
Super solutions provide a framework for finding robust solutions to Constraint Satisfaction Problems [5, 3]. We present a novel application of super solutions to combinatorial auc...