Abstract. In this paper we propose a model that allows agents to deliberate using defeasible argumentation, to share knowledge with other agents, and to represent individual knowle...
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
By adapting to computations that are not so well supported by general-purpose processors, reconfigurable systems achieve significant increases in performance. Such computational sy...
It is important that practical data-flow analyzers are backed by reliably proven theoretical Abstract interpretation provides a sound mathematical framework and necessary properti...
Patricia M. Hill, Roberto Bagnara, Enea Zaffanella
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...