TY - GEN
T1 - An Enhanced Massively Multi-agent System for Discovering HIV Population Dynamics
AU - Zhang, Shiwu
AU - Yang, Jie
AU - Wu, Yuehua
AU - Liu, Jiming
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2005/8/11
Y1 - 2005/8/11
N2 - In this paper, we present an enhanced massively multi-agent system based on the previous MMAS for discovering the unique dynamics of HIV infection [1]. The enhanced MMAS keeps the spacial characteristics of cellular automata (CA), and employs mathematical equations within sites. Furthermore, new features are incorporated into the model, such as the sequence representation of HIV genome, immune memory and agent remote diffusion among sites. The enhanced model is closer to the reality and the simulation captures two extreme time scales in the typical three stages dynamics of HIV infection, which make the model more convincing. The simulation also reveals two phase-transitions in the dynamics of the size of immune memory, and indicates that the high mutation rate of HIV is the fatal factor with which HIV destroys the immune system eventually. The enhanced MMAS provides a good tool to study HIV drug therapy for its characterizing the process of HIV infection.
AB - In this paper, we present an enhanced massively multi-agent system based on the previous MMAS for discovering the unique dynamics of HIV infection [1]. The enhanced MMAS keeps the spacial characteristics of cellular automata (CA), and employs mathematical equations within sites. Furthermore, new features are incorporated into the model, such as the sequence representation of HIV genome, immune memory and agent remote diffusion among sites. The enhanced model is closer to the reality and the simulation captures two extreme time scales in the typical three stages dynamics of HIV infection, which make the model more convincing. The simulation also reveals two phase-transitions in the dynamics of the size of immune memory, and indicates that the high mutation rate of HIV is the fatal factor with which HIV destroys the immune system eventually. The enhanced MMAS provides a good tool to study HIV drug therapy for its characterizing the process of HIV infection.
UR - http://www.scopus.com/inward/record.url?scp=27144516803&partnerID=8YFLogxK
U2 - 10.1007/11538356_102
DO - 10.1007/11538356_102
M3 - Conference proceeding
AN - SCOPUS:27144516803
SN - 9783540282273
T3 - Lecture Notes in Computer Science
SP - 988
EP - 997
BT - Advances in Intelligent Computing
A2 - Huang, De-Shuang
A2 - Zhang, Xiao-Ping
A2 - Huang, Guang-Bin
PB - Springer
CY - Berlin, Heidelberg
T2 - International Conference on Intelligent Computing, ICIC 2005
Y2 - 23 August 2005 through 26 August 2005
ER -