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» Modeling Infection with Multi-agent Dynamics
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AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
ATAL
2003
Springer
14 years 19 days ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
SIAMAM
2002
67views more  SIAMAM 2002»
13 years 7 months ago
A Two-Strain Tuberculosis Model with Age of Infection
Long periods of latency and the emergence of antibiotic resistance due to incomplete treatment are very important features of tuberculosis (TB) dynamics. Previous studies of two-st...
F. A. Milner, M. Iannelli, Z. Feng
JCIT
2010
113views more  JCIT 2010»
13 years 2 months ago
Dynamic Integrated Algorithm for Production Scheduling Based on Iterative Search
It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative ...
Cunli Song, Xiaobing Liu, Wei Wang, Ming Huang
JCSS
2008
159views more  JCSS 2008»
13 years 7 months ago
Analysing distributed Internet worm attacks using continuous state-space approximation of process algebra models
Internet worms are classically described using SIR models and simulations, to capture the massive dynamics of the system. Here we are able to generate a differential equation-base...
Jeremy T. Bradley, Stephen T. Gilmore, Jane Hillst...