In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possiblyout-datedviews of activitiesof other agents and ...
Our system, based on a multiagent framework called collaborative understanding of distributed knowledge (CUDK), is designed with the overall goal of balancing agents' conceptu...
System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their ind...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...