The effect of network structure on dynamic team formation in multi‐agent systems

ME Gaston, M DesJardins - Computational Intelligence, 2008 - Wiley Online Library
Previous studies of team formation in multi‐agent systems have typically assumed that the
agent social network underlying the agent organization is either not explicitly described or …

Towards reinforcement learning for holonic multi-agent systems

M Abdoos, N Mozayani… - Intelligent Data …, 2015 - content.iospress.com
Holonic multi-agent system (HMAS) offers a promising approach to model complex systems.
HMAS is based on self-similar entities defined in a holarchical organization. Although some …

Learning in open adaptive networks

G Yang, V Danos - 2016 IEEE 10th International Conference on …, 2016 - ieeexplore.ieee.org
We propose a generic distributed learn-and-adapt model for high performance and high
resilience configuration of open cooperative agent networks. Agents are involved into three …

Learning in adaptive networks: analytical and computational approaches

G Yang - 2016 - era.ed.ac.uk
The dynamics on networks and the dynamics of networks are usually entangled with each
other in many highly connected systems, where the former means the evolution of state and …

Adaptation of wireless sensor networks through node relocation

JW Labin - 2007 - search.proquest.com
Wireless sensor networks are a popular tool for tasks that require remote monitoring of an
environment. However, sensor networks are often deployed with resource imbalances that …

[SITAT][C] Multi-criteria cooperation in multiagent systems by local adaptation

M Eberling - 2011 - … Paderborn, Diss., 2011

[SITAT][C] Towards reinforcement learning for holonic

[SITAT][C] Agent's Performance in an Agent-Organized Network

Y Haghpanah