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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Coevolution of cognitive abilities and identity signals in individual recognition systems
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Coevolution of cognitive abilities and identity signals in individual recognition systems

机译:个人识别系统中的认知能力和身份信号的共同

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摘要

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.
机译:社会互动由识别系统调解,这意味着促进承认的认知能力或表型多样性可能是社会选择的普遍目标。当接收器比较用模板产生的发件人产生的表型来发生识别。发件人和接收器特征之间的参数在多种物种和感官模型中被凭经验报道,尽管动态和来自发件人与接收器的特征的相对夸张都收到了很少的关注。在这里,我们介绍了一种共带的动态模型,审查了发件人和接收者应该投资促进个人认可的条件。该模型预测发件人和接收器特征的协同,依赖于信号产生与认知的相对成本的均衡投资。为了使识别出现,初始发件人和接收者特征值必须高于阈值,表明识别需要一定程度的预先存在的多样性和认知能力。选择梯度的分析表明,当特征值与OptimA最远时,发送器信号和接收器认知的选择强度最强。该模型为在个人认可的起源和拟订期间,在各个识别期间,为选择的预期实力和动态提供了新的见解,这是许多分类群体社会认知的重要特征。

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