Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
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DOI：
10.1016/j.beproc.2011.09.006
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发表时间：
2011-11-01
影响因子：
1.3
通讯作者：
Coppinger, R. P.
中科院分区：
文献类型：
--
作者：
Muro, C.;Escobedo, R.;Coppinger, R. P.
我们已经产生了计算模拟的多智能体系统中，狼代理追逐猎物代理。我们发现，两个简单的分散规则控制的运动，每只狼是足够的复制的主要特征的狼群狩猎行为：跟踪猎物，进行追求，并包围猎物，直到它停止移动。规则是：（1）向猎物移动，直到达到与猎物的最小安全距离;（2）当足够接近猎物时，远离与猎物接近安全距离的其他狼。狩猎代理是自主的，可互换的和不可区分的;每个代理需要的唯一信息是其他代理的位置。我们的研究结果表明，背包狩猎是一种新兴的集体行为，不一定依赖于参与狩猎的个人之间的有效沟通的存在，并没有层次结构是需要在组中正确地完成任务。(C)2011 Elsevier B. V.保留所有权利。
We have produced computational simulations of multi-agent systems in which wolf agents chase prey agents. We show that two simple decentralized rules controlling the movement of each wolf are enough to reproduce the main features of the wolf-pack hunting behavior: tracking the prey, carrying out the pursuit, and encircling the prey until it stops moving. The rules are (1) move towards the prey until a minimum safe distance to the prey is reached, and (2) when close enough to the prey, move away from the other wolves that are close to the safe distance to the prey. The hunting agents are autonomous, interchangeable and indistinguishable; the only information each agent needs is the position of the other agents. Our results suggest that wolf-pack hunting is an emergent collective behavior which does not necessarily rely on the presence of effective communication between the individuals participating in the hunt, and that no hierarchy is needed in the group to achieve the task properly. (C) 2011 Elsevier B.V. All rights reserved.