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The effect of network structure on dynamic team formation in multi‐agent systems
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 …
agent social network underlying the agent organization is either not explicitly described or …
Towards reinforcement learning for holonic multi-agent systems
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 …
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 …
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 …
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 …
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