Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Abstract. Agent-oriented system development aims to simplify the conn of complex systems by introducing a natural abstraction layer on top of the object-oriented paradigm composed ...
Lars Braubach, Alexander Pokahr, Daniel Moldt, Win...
Abstract. This paper presents a system that connects students with complementary profiles, so they can interchange knowledge and help each other. The profile of the students is bui...
In this paper we propose a multi-agent system modeling language (MAS-ML) that extends UML (Unified Modeling Language) based on structural and dynamic properties presented in a conc...
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...