Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
An increasing number of studies have appeared that evaluate and rank journal quality and the productivity of IS scholars and their institutions. In this paper, we describe the res...
Thefocus of this workis the computationof efficient strategies for commoditytrading in a multi-marketenvironment. In today's "global economy"commodities are often b...
Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochanta...
Recently, mobile agents have been proposed for efficient data dissemination in sensor networks. In the traditional client/server-based computing architecture, data at multiple sour...
Min Chen, Taekyoung Kwon, Yong Yuan, Victor C. M. ...
In this paper we provide a general method to derive productform solutions for stochastic models. We take inspiration from the Reversed Compound Agent Theorem [14] and we provide a...