This paper proposes a combined mechanism for coordinating agents in timed normative multi-agent systems. Timing constraints in a multi-agent system make it possible to force actio...
Lacramioara Astefanoaei, Frank S. de Boer, Mehdi D...
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
d Abstract) Dan Erusalimchik1 , Gal A. Kaminka1 , Shai Shlomai2 , Dov Miron1 , and Sarit Kraus2 The 1 MAVERICK Group and the 2 Multi-Agent Systems Group Computer Science Department...
Dan Erusalimchik, Gal A. Kaminka, Shai Shlomai, Do...
The concept of a social norm is used in multi-agent systems to specify behaviours required of agents interacting in a given social context. We describe a method for specifying soci...