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DMS
2008
167views Multimedia» more  DMS 2008»
15 years 8 months ago
Testing Multi-agent Systems for Deadlock Detection Based on UML Models
There is a growing demand for Multi-Agent Systems (MAS) in the software industry. The autonomous agent interaction in a dynamic software environment can potentially lead to runtim...
Nariman Mani, Vahid Garousi, Behrouz Homayoun Far
ATAL
2006
Springer
15 years 10 months ago
Learning to cooperate in multi-agent social dilemmas
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
ATAL
2011
Springer
14 years 6 months ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...
ATAL
2009
Springer
16 years 1 months ago
Integrating organizational control into multi-agent learning
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
VTC
2008
IEEE
142views Communications» more  VTC 2008»
16 years 1 months ago
Fairness Assessment of the Adaptive Token Bank Fair Queuing Scheduling Algorithm
Abstract—Adaptive Token Bank Fair Queuing (ATBFQ) algorithm has been proposed as a cross-layer scheduling technique for 4G wireless systems recently. This algorithm takes higher ...
Feroz A. Bokhari, Halim Yanikomeroglu, William K. ...