Abstract. In this paper we introduce a fixpoint semantics for quantitative logic programming, which is able to both combine and correlate evidence from different sources of infor...
We present a simple, yet general top-down query answering procedure for logic programs managing uncertainty. The main features are: (i) the certainty values are taken from a certai...
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...
This work is about an experimental paradigmatic functional language for programming with P-TIME functions. The language is designed from Intuitionistic Light Affine Logic. It can ...
Formal semantic definitions of concurrent languages, when specified in a well-suited semantic framework and supported by generic and efficient formal tools, can be the basis of pow...