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ATAL
2010
Springer
13 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2010
Springer
13 years 7 months ago
Avoiding the prisoner's dilemma in auction-based negotiations for highly rugged utility spaces
There is a number of recent research lines addressing complex negotiations in highly rugged utility spaces. However, most of them focus on overcoming the problems imposed by the c...
Ivan Marsá-Maestre, Miguel A. López-...
RTSS
2003
IEEE
14 years 26 days ago
Data Caches in Multitasking Hard Real-Time Systems
Data caches are essential in modern processors, bridging the widening gap between main memory and processor speeds. However, they yield very complex performance models, which make...
Xavier Vera, Björn Lisper, Jingling Xue
ATAL
2004
Springer
14 years 1 months ago
Degree of Local Cooperation and Its Implication on Global Utility
In a cooperative multi-agent system that is situated in an evolving environment, agents need to dynamically adjust their negotiation attitudes towards different agents in order to...
Jiaying Shen, Xiaoqin Zhang, Victor R. Lesser
JPDC
2007
209views more  JPDC 2007»
13 years 7 months ago
Application-aware integration of data collection and power management in wireless sensor networks
Sensors are typically deployed to gather data about the physical world and its artifacts for a variety of purposes that range from environment monitoring, control, to data analysi...
Qi Han, Sharad Mehrotra, Nalini Venkatasubramanian