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Abstract:
Despite a large number of studies on collective motion, individuals are usually assumed to participate in flocking unconditionally, and the cost of communication with other in-dividuals is rarely considered . In fact, individuals often need to face a dichotomous sce-nario: choosing to move together with others and pay the communication cost, or choos-ing to walk alone and have no communication cost. In this paper, a modified Vicsek model is proposed, in which agents have different kinds of moving patterns depending on the strategies taken by them. Each individual obtains a payoff based on the benefit of the col-lective motion and the cost of communication with neighbors. Individuals update their strategies according to the evolutionary game theory. It is found that not only cooperation can be maintained, but also the highest synchronization level can be achieved at an op-timal value of communication radius. The influence of other pertinent quantities such as the random noise, the relative cost, and the density of agents have also been investigated in detail.(c) 2022 Elsevier Inc. All rights reserved.
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APPLIED MATHEMATICS AND COMPUTATION
ISSN: 0096-3003
Year: 2023
Volume: 438
3 . 5
JCR@2023
3 . 5 0 0
JCR@2023
ESI Discipline: MATHEMATICS;
ESI HC Threshold:13
JCR Journal Grade:1
CAS Journal Grade:2
Cited Count:
WoS CC Cited Count: 11
SCOPUS Cited Count: 11
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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