Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
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...
This paper presents a multiagent system that provides guidance on leisure facilities and suggestions for shopping in malls. This paper presents a deliberative agent which incorpora...
We present negotiation schemes for efficient role adoption that enhance utility in organizations. In one scheme, local utility computations determine role adoption. In the second ...