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SCIENTIA SINICA Informationis, Volume 49, Issue 1: 112-118(2019) https://doi.org/10.1360/N112018-00168

From wolf pack intelligence to UAV swarm cooperative decision-making

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  • ReceivedJun 23, 2018
  • AcceptedSep 6, 2018
  • PublishedJan 3, 2019

Abstract

Cooperative decision-making of UAVs under complex environments is a crucial mode of combat in future battlefields. Given the uncertainties of the environment and states, the coordination and automation of UAV swarms is a challenging issue faced during swarm combat. Wolves can fast track and enclose the target under complicated surroundings because of their outstanding cognition and cooperation abilities during hunting. The characteristics indicated by the aforementioned intelligent behaviors, such as information recognition and cooperative motion, are consistent with the swarm policy requirements of perception and coordination. The cooperation mechanism of wolf packs should be studied, and its application to UAV swarm combat to obtain a solution for UAV swarm autonomous decision-making needs to be addressed.


Funded by

国家杰出青年科学基金(61425008)

国家自然科学基金(61333004)

北京航空航天大学博士研究生卓越学术基金(2018年度)


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  • Figure 1

    (Color online) Mapping mechanism from the wolf pack intelligence to the decision-making of UAV swarm confrontation

  • Table 1   Comparison of the characteristics of wolves, birds, fish school and ant colony
    Property Wolf pack Bird flock Fish school Ant colony
    Cognition Strong General General Weak
    Adaptivity Strong General Weak Weak
    Sociality Rigorous Hierarchies Unknown Rigorous
    Motion characters Selective topology Fixed topology Fixed domain Pheromone

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