Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
The Rule Responder project (responder.ruleml.org) extends the Semantic Web towards a Pragmatic Web infrastructure for collaborative human-computer networks. These allow semi-autom...
Adrian Paschke, Harold Boley, Alexander Kozlenkov,...
As database application performance depends on the utilization of the memory hierarchy, smart data placement plays a central role in increasing locality and in improving memory ut...
Minglong Shao, Jiri Schindler, Steven W. Schlosser...
Chip multiprocessors (CMPs) are becoming a popular way of exploiting ever-increasing number of on-chip transistors. At the same time, the location of data on the chip can play a c...
Chun Liu, Anand Sivasubramaniam, Mahmut T. Kandemi...
The ability to create effective multi-agent organizations is key to the development of larger, more diverse multi-agent systems. In this article we present KB-ORG: a fully automate...