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Robustness of critical points in a complex adaptive system: Effects of hedge behavior
by
Yuan Liang Ji-Ping Huang
in
Adaptive systems
/ agentbased simulation
/ Astronomy
/ Astrophysics and Cosmology
/ Atomic
/ complex adaptive system
/ Complex adaptive systems
/ Condensed Matter Physics
/ Critical point
/ hedge behavior
/ Molecular
/ Optical and Plasma Physics
/ Particle and Nuclear Physics
/ phase transition
/ Phase transitions
/ Physics
/ Physics and Astronomy
/ Research Article
/ Resource allocation
/ Theoretical analysis
/ 临界点
/ 物理系统
/ 自适应代理
/ 自适应系统
/ 行为
/ 计算机模拟
/ 资源配置
/ 鲁棒性
2013
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Robustness of critical points in a complex adaptive system: Effects of hedge behavior
by
Yuan Liang Ji-Ping Huang
in
Adaptive systems
/ agentbased simulation
/ Astronomy
/ Astrophysics and Cosmology
/ Atomic
/ complex adaptive system
/ Complex adaptive systems
/ Condensed Matter Physics
/ Critical point
/ hedge behavior
/ Molecular
/ Optical and Plasma Physics
/ Particle and Nuclear Physics
/ phase transition
/ Phase transitions
/ Physics
/ Physics and Astronomy
/ Research Article
/ Resource allocation
/ Theoretical analysis
/ 临界点
/ 物理系统
/ 自适应代理
/ 自适应系统
/ 行为
/ 计算机模拟
/ 资源配置
/ 鲁棒性
2013
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Robustness of critical points in a complex adaptive system: Effects of hedge behavior
by
Yuan Liang Ji-Ping Huang
in
Adaptive systems
/ agentbased simulation
/ Astronomy
/ Astrophysics and Cosmology
/ Atomic
/ complex adaptive system
/ Complex adaptive systems
/ Condensed Matter Physics
/ Critical point
/ hedge behavior
/ Molecular
/ Optical and Plasma Physics
/ Particle and Nuclear Physics
/ phase transition
/ Phase transitions
/ Physics
/ Physics and Astronomy
/ Research Article
/ Resource allocation
/ Theoretical analysis
/ 临界点
/ 物理系统
/ 自适应代理
/ 自适应系统
/ 行为
/ 计算机模拟
/ 资源配置
/ 鲁棒性
2013
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Robustness of critical points in a complex adaptive system: Effects of hedge behavior
Journal Article
Robustness of critical points in a complex adaptive system: Effects of hedge behavior
2013
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Overview
In our recent papers, we have identified a class of phase transitions in the market-directed resource- allocation game, and found that there exists a critical point at which the phase transitions occur. The critical point is given by a certain resource ratio. Here, by performing computer simulations and theoretical analysis, we report that the critical point is robust against various kinds of human hedge behavior where the numbers of herds and contrarians can be varied widely. This means that the critical point can be independent of the total number of participants composed of normal agents, herds and contrarians, under some conditions. This finding means that the critical points we identified in this complex adaptive system (with adaptive agents) may also be an intensive quantity, similar to those revealed in traditional physical systems (with non-adaptive units).
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