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ATAL
2005
Springer
14 years 1 months ago
An autonomous performance control framework for Distributed Multi-Agent Systems: a queueing theory based approach
Distributed Multi-Agent Systems (DMAS) such as supply chains functioning in highly dynamic environments need to achieve maximum overall utility during operation. The utility from ...
Nathan Gnanasambandam, Seokcheon Lee, Soundar R. T...
AOIS
2004
13 years 9 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
COMPSAC
2007
IEEE
14 years 1 months ago
An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment
We present in this paper an adaptive security model for Multi-agent systems. A security meta-model has been developed in which the traditional role concept has been extended. The ...
Liang Xiao 0002, Andrew Peet, Paul H. Lewis, Srina...
TSMC
2010
13 years 2 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...
AAAI
2010
13 years 9 months ago
Biologically-Inspired Control for Multi-Agent Self-Adaptive Tasks
Decentralized agent groups typically require complex mechanisms to accomplish coordinated tasks. In contrast, biological systems can achieve intelligent group behaviors with each ...
Chih-Han Yu, Radhika Nagpal