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
This paper introduces a peer-to-peer agent framework for supporting autonomic applications in decentralized distributed environments. The framework provides agents to discover, co...
Impact analysis is seen as an important technique for controlling the evolution of software systems. Numerous approaches have been proposed which aim to assess the impact of chang...
Simon Lock, Awais Rashid, Peter Sawyer, Gerald Kot...
Fast runtime reconfigurable hardware enables system designers to swap hardware into and out of an FPGA much as the pages of virtual memory are swapped into and out of virtual memor...
Don Davis, Michael Barr, Toby Bennett, Stephen Edw...
During the development of Beyond-Sniff, a distributed multi-user development platform, we were confronted with various, apparently unrelated problems: data, control, and user inte...