Answer-set programming (ASP) is an emerging logic-programming paradigm that strictly separates the description of a problem from its solving methods. Despite its semantic elegance,...
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
We introduce the new paradigm of High-Level Non-Monotonic reasoning (HLNM). This paradigm is the consolidation of our recent results on disjunctions, sets, explicit and implicit ne...
Mauricio Osorio, Juan Carlos Nieves, Fernando Zaca...
Abstract. This paper is a first step in the direction of extending possibilistic planning to take advantage of the expressive power and reasoning capabilities of fuzzy description...
Program analysis and verification tools crucially depend on the ability to symbolically describe and reason about sets of program behaviors. Separation logic provides a promising...