论文标题
流行病期间环状模型中的自适应利他策略
Adaptive altruistic strategy in cyclic models during an epidemic
论文作者
论文摘要
我们研究了一个环状游戏系统,在该系统中,生物体面临着一种流行病,而不是受到自然敌人的威胁。作为一种生存策略,物种中一个人的个人通常通过接近敌人的敌人并进行社会疏远以逃避污染,以逃避污染。我们模拟如果病原体突变使疾病更加致命,则必须如何适应局部流行病的生存运动策略。我们研究局部暴发的空间分布,并观察疾病死亡率对个体空间组织的影响。我们表明,将生存运动策略适应高死亡率疾病需要生物体的无私行为,因为它们的死亡风险增加了。尽管削弱了使该物种受益的疾病传播链,但通过保护社会互动提供的放弃避难所增加了在循环游戏中被消除的脆弱性。考虑到并非所有个体都表现出利他主义,我们发现物种密度的相对增长与行为无私的个体比例的关系。我们的结果可能对生物学家和数据科学家了解自适应无私过程如何影响复杂系统中的人群动态。
We investigate a cyclic game system where organisms face an epidemic beyond being threatened by natural enemies. As a survival strategy, individuals of one out of the species usually safeguard themselves by approaching the enemies of their enemies and performing social distancing to escape contamination when an outbreak affects the neighbourhood. We simulate how the survival movement strategy to local epidemic surges must adapt if a pathogen mutation makes the disease deadlier. We study the spatial distribution of local outbreaks and observe the influence of disease mortality on individuals' spatial organisation. We show that adapting the survival movement strategy for a high mortality disease demands an altruistic behaviour of the organisms since their death risk increases. Despite weakening the disease transmission chain, which benefits the species, abandoning refuges provided by safeguarding social interaction increases the vulnerability to being eliminated in the cyclic game. Considering that not all individuals exhibit altruism, we find the relative growth in the species density as a function of the proportion of individuals behaving altruistically. Our results may be helpful for biologists and data scientists to understand how adaptive altruistic processes can affect population dynamics in complex systems.