This paper explores the use of Constraint Logic Programming (CLP) as a platform for experimenting with planning problems in the presence of multiple interacting agents. The paper ...
Agostino Dovier, Andrea Formisano, Enrico Pontelli
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Abstract. Modern web forms interact with the user in real-time by detecting errors and filling-in implied values, which in terms of automated reasoning amounts to SAT solving and ...
Abstract. Methods exploiting problem symmetries have been very successful in several areas including constraint programming and SAT solving. We here recast a technique to enhance t...
We hypothesize that certain program complexities and difficulties to realize reuse potentials have their roots in weak mechanisms for generic design of today’s programming techn...