By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
This paper presents thedistributed implementationof ALIAS, an architecture composed of several cooperating intelligent agents. This system is particularly suited to solve problems ...
Anna Ciampolini, Evelina Lamma, Paola Mello, Cesar...
Logics for knowledge representation suffer from overspecialization: while each logic may provide an ideal representation formalism for some problems, it is less than optimal for o...
Grigoris Antoniou, David Billington, Guido Governa...
Communication is essential in multi-agent systems, since it allows agents to share knowledge and to coordinate. However, in open multi-agent systems, autonomous and heterogeneous a...