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We apply soft control method on an opinion dynamic model, the weighted DeGroot model, to change the convergent opinion value x. The interaction network plays an important role in the dynamics of system, and the soft control performance (Δx, the difference between the new convergent opinion value x and the original convergent opinion value x). In this paper, we define a new network feature Ω, called...
The interaction neighborhood relationship among agents in many multi-agent systems is defined based on interaction radius r. Therefore, r plays an important role in the dynamics of these multi-agent systems. So does it also have influence on intervention methods for multi-agent systems? To answer this question, we study the impact of r on the performance of the Soft Control intervention method based...
In order to have a self-organized multi-agent system exhibit some expected collective behavior, it is necessary to add some special agents with information (called leaders) to intervene the system. Then a fundamental question is: how many such leaders are needed? Naturally the answer depends on the model to be studied. In this paper a typical model proposed by Vicsek et al. is used for answering the...
In order to have a self-organized multi-agent system exhibit some expected collective behavior, it is necessary that some agents (called leaders) are informed about the expected behavior and able to intervene. Then a fundamental question is: how many such leaders are needed? Naturally the answer depends on the model used. In this paper the model proposed by Vicsek et al. is used for the analysis....
Multi-agent systems enjoy some basic characteristics of complex systems, which arise from diverse fields in natural and artificial systems, such as flocking of birds, schools of fish, traffic systems and robots formation. A basic problem is to understand how locally interacting rules lead to collective behaviors (e.g., synchronization) of the overall system. The so-called Vicsek's model is a simple,...
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