Classic evaluation methods of believable agents are time-consuming because they involve many human to judge agents. They are well suited to validate work on new believable behavio...
We present a concept to use off-line learning approaches to achieve on-line learning of cooperative behavior of agents and instantiate this concept for evolutionary learning with ...
Intentional agent systems are increasingly being used in a wide range of complex applications. Capabilities has recently been introduced into some of these systems as a software en...
In an unpredictable, heterogeneous world, intelligent agents depend on accurate social information; reputation, among the preeminent artifacts to transmit social evaluations, has b...
Isaac Pinyol, Mario Paolucci, Jordi Sabater-Mir, R...
In this paper we consider the competition on the Internet between information providers to maximise their exposure to a relevant audience. Spammers and Search engine gamers adopt a...