This paper discusses the background, algorithms and implementation techniques to support programmers in ‘debugging’ logic programs under the answer set semantics. We first inv...
This paper outlines a novel approach to the computation of answer sets in an evolving and interactive environment. Instead of recomputing the semantics of the entire program, our a...
Abstract. Focusing is traditionally seen as a means of reducing inessential nondeterminism in backward-reasoning strategies such as uniform proof-search or tableaux systems. In thi...
This paper presents a model constructed for the evaluation of the interaction of the atmosphere and the ocean. The work here presented focuses in the development of an agent based ...
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...