In this paper, we consider the problem of reducing the number of false positives generated by cooperative Intrusion Detection Systems (IDSs) in Mobile Ad hoc Networks (MANETs). We...
Hadi Otrok, Mourad Debbabi, Chadi Assi, Prabir Bha...
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
In this paper we present a system that facilitates virtual museum development and usage. The system is based on a game engine, ensuring thus minimal cost and good performance, and...
Victor Mateevitsi, Michael Sfakianos, George Lepou...
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...