Coevolution of cognitive abilities and identity signals in individual recognition systems

Coevolution of cognitive abilities and identity signals in individual recognition systems
复制标题

个体识别系统中认知能力和身份信号的共同进化

DOI:
10.1098/rstb.2019.0467
复制
发表时间:
2020
期刊:
Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子:
--
通讯作者:
Reeve, H. Kern
Reeve, H. Kern
中科院分区:
--
文献类型:
--
作者:
Miller, Sara E.;Sheehan, Michael J.;Reeve, H. Kern

文献摘要

参考文献

被引文献

相似文献

社会互动是由认知系统调节的,这意味着促进认知的认知能力或表型多样性可能是社会选择的共同目标。当接收者将发送者产生的表型与模板进行比较时,就会发生识别。在多种物种和感官模式中,发送者和接收者的特征之间的共同进化已经得到了经验的报道,尽管发送者和接收者的特征的动态和相对夸张的注意很少。在这里,我们提出了一个共同进化的动态模型,该模型考察了发送者和接收者应该在促进个体识别方面投入努力的条件。该模型预测了发送者和接收者特征的共同进化,均衡投资取决于信号产生与认知的相对成本。为了使认知进化,初始发送者和接收者的特性值必须高于阈值,这表明识别需要一定程度的预先存在的多样性和认知能力。选择梯度分析表明,当性状值离最优值最远时,发送者信号和接收者认知的选择强度最强。该模型对个体识别的起源和发展过程中的期望强度和选择的动态提供了新的见解。个体识别是许多分类中社会认知的重要特征。这篇文章是主题问题识别系统中的信号检测理论的一部分:从进化模型到实验测试。
Social interactions are mediated by recognition systems, meaning that the cognitive abilities or phenotypic diversity that facilitate recognition may be common targets of social selection. Recognition occurs when a receiver compares the phenotypes produced by a sender with a template. Coevolution between sender and receiver traits has been empirically reported in multiple species and sensory modalities, though the dynamics and relative exaggeration of traits from senders versus receivers have received little attention. Here, we present a coevolutionary dynamic model that examines the conditions under which senders and receivers should invest effort in facilitating individual recognition. The model predicts coevolution of sender and receiver traits, with the equilibrium investment dependent on the relative costs of signal production versus cognition. In order for recognition to evolve, initial sender and receiver trait values must be above a threshold, suggesting that recognition requires some degree of pre-existing diversity and cognitive abilities. The analysis of selection gradients demonstrates that the strength of selection on sender signals and receiver cognition is strongest when the trait values are furthest from the optima. The model provides new insights into the expected strength and dynamics of selection during the origin and elaboration of individual recognition, an important feature of social cognition in many taxa.This article is part of the theme issue ‘Signal detection theory in recognition systems: from evolving models to experimental tests’.
DOI: 10.1126/sciadv.1500325
发表时间: 2015-09
期刊: Science advances
影响因子: 13.6
作者:
Schöneich S;Kostarakos K;Hedwig B
通讯作者: Hedwig B
入侵物种揭示了当代自然界表型变化的速率和形式
DOI: --
发表时间: 2011
影响因子: 2.9
作者:
Peter A. H. Westley
通讯作者: Peter A. H. Westley
DOI: 10.1146/annurev-ecolsys-120213-091846
发表时间: 2014-11-01
期刊: Annual review of ecology, evolution, and systematics
影响因子: --
作者:
Tenaillon O
通讯作者: Tenaillon O
(11) KP层次的Painlevé VI的推导及其特解
DOI: --
发表时间: 2007
期刊:
影响因子: --
作者:
塩田 徹治;筧 三郎;覧 三郎;筧 三郎
通讯作者: 筧 三郎
岸燕(Riparia riparia)的亲子识别:I. 自然历史
DOI: 10.1016/s0003-3472(81)80155-8
发表时间: 1981
期刊: Animal Behaviour
影响因子: 2.5
作者:
M. D. Beecher;I. M. Beecher;S. Lumpkin
通讯作者: S. Lumpkin