Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
Abstract. This paper is concerned with the general problem of constructing decision tables and more specifically, with the identification of all possible outcomes of decisions. We ...
In this paper, we examine an argument-based semantics called semi-stable semantics. Semi-stable semantics is quite close to traditional stable semantics in the sense that every st...
Systems often exhibit hierarchical structures and multiple levels of abstraction, and MultiAgent Systems, even if they have proved their adequacy to model such systems, mains in t...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...
Abstract. Team automata provide a framework for capturing notions like coordination, colon, and cooperation in distributed systems. They consist of an abstract specification of com...
Maurice H. ter Beek, Clarence A. Ellis, Jetty Klei...