伏击策略能提高生物在剪刀石头布游戏中的表现。

IF 2 4区 生物学 Q2 BIOLOGY
R. Barbalho , S. Rodrigues , M. Tenorio , J. Menezes
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引用次数: 0

摘要

我们研究了一个五种生物的循环系统,在这个系统中,一种生物的个体会战略性地调整它们的运动,以提高它们在空间剪刀石头布游戏中的表现。通过环境线索,个体能够意识到循环游戏中需要消灭的目标生物的存在。如果目标生物在当地的密度足够高,个体就会向集中区域移动以进行直接攻击;否则,它们就会采用伏击战术,通过瞄准可能被对手占据的区域来最大限度地提高成功几率。通过随机模拟,我们发现与单独直接攻击相比,伏击策略提高了个体成功的可能性,从而导致以螺旋波为特征的不均匀空间模式。我们计算了自相关函数,并通过计算每个物种典型空间领域的特征长度尺度来衡量伏击策略如何使生物的空间组织失衡。我们证明,局部物种密度阈值会影响伏击策略的有效性,而邻域感知范围则会显著影响决策的准确性。研究结果表明,尽管在高攻击触发条件下决策可能会受到干扰,但远距离感知可将性能提高 60% 以上。了解生物如何适应环境以提高性能不仅对生态学家有帮助,对旨在改进人工智能系统的数据科学家也有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ambush strategy enhances organisms’ performance in rock–paper–scissors games

We study a five-species cyclic system wherein individuals of one species strategically adapt their movements to enhance their performance in the spatial rock–paper–scissors game. Environmental cues enable the awareness of the presence of organisms targeted for elimination in the cyclic game. If the local density of target organisms is sufficiently high, individuals move towards concentrated areas for direct attack; otherwise, they employ an ambush tactic, maximising the chances of success by targeting regions likely to be dominated by opponents. Running stochastic simulations, we discover that the ambush strategy enhances the likelihood of individual success compared to direct attacks alone, leading to uneven spatial patterns characterised by spiral waves. We compute the autocorrelation function and measure how the ambush tactic unbalances the organisms’ spatial organisation by calculating the characteristic length scale of typical spatial domains of each species. We demonstrate that the threshold for local species density influences the ambush strategy’s effectiveness, while the neighbourhood perception range significantly impacts decision-making accuracy. The outcomes show that long-range perception improves performance by over 60%, although there is potential interference in decision-making under high attack triggers. Understanding how organisms’ adaptation their environment enhances their performance may be helpful not only for ecologists, but also for data scientists, aiming to improve artificial intelligence systems.

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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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