In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ļ...
Agents engaged in noncooperative interaction may seek to achieve a Nash equilibrium; this requires that agents be aware of othersā rewards. Misinformation about rewards leads to...
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Abstract. We consider network congestion games in which a ļ¬nite number of non-cooperative users select paths. The aim is to mitigate the ineļ¬ciency caused by the selļ¬sh users...
Dimitris Fotakis, George Karakostas, Stavros G. Ko...
āIn this paper we model the digital rights management (DRM) for peer-to-peer streaming (P2PS) systems as a game. We construct the DRM game from both content service provider (CSP...