Controlling collective dynamics in complex, minority-game resource-allocation systems
Ji-Qiang Zhang, Zi-Gang Huang, Zi-Gang Huang, Liang Huang, Tie-Qiao, Huang, Ying-Cheng Lai

TL;DR
This paper demonstrates that pinning control, fixing the choices of a few agents, effectively eliminates herding behavior in complex resource-allocation systems modeled by minority games, leading to more efficient resource use.
Contribution
It introduces and systematically analyzes a pinning control strategy to suppress herding in minority-game-based resource allocation systems across various network topologies.
Findings
Pinning control completely eliminates herding behavior.
Targeted pinning is more effective than random pinning.
Mean-field theory explains the control mechanism.
Abstract
Resource allocation takes place in various kinds of real-world complex systems, such as the traffic systems, social services institutions or organizations, or even the ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Ac- companying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Mental Health Research Topics
