: Other work has shown that adaptive learning can be highly successful in developing programs which are able to play games at a level similar to human players and, in some cases, e...
In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
In multi-issue negotiations, issues may be negotiated independently or not. In the latter case, the utility associated with one issue depends on the value of another. These issue d...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
Abstract Complex systems call for a hierarchical description. Analogously, the engineering of non-trivial MASs (multiagent systems) requires principles and mechanisms for a multi-l...
Ambra Molesini, Andrea Omicini, Alessandro Ricci, ...