Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
Abstract. Variables make rule-based systems more abstract and expressive, as witnessed by term rewriting systems and two-level grammars. In this paper we show that variables can be...
We propose a surprisingly simple new way of breaking all value symmetries with constraints. Our method requires the addition of one variable per value of the problem plus a linear ...
Abstract. An appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems ...
Abstract. We present new careful semantics within Dung’s theory of argumentation. Under such careful semantics, two arguments cannot belong to the same extension whenever one of ...
Sylvie Coste-Marquis, Caroline Devred, Pierre Marq...