Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
The K framework, based on rewriting logic semantics, provides a powerful logic for deļ¬ning the semantics of programming languages. While most work in this area has focused on deļ...
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
Gerardo I. Simari, John P. Dickerson, V. S. Subrah...
Object-oriented programs are notable for making use of both rder abstractions and mutable, aliased state. Either feature alone is challenging for formal veriļ¬cation, and the com...
Neelakantan R. Krishnaswami, Jonathan Aldrich, Lar...
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it attracts the interest of theoreticians and practitioners, and it is currently use...