首页> 美国卫生研究院文献>Proceedings of the Royal Society B: Biological Sciences >Learning in a game context: strategy choice by some keeps learning from evolving in others
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Learning in a game context: strategy choice by some keeps learning from evolving in others

机译:在游戏环境中学习:某些人的策略选择使他人无法不断学习

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摘要

Behavioural decisions in a social context commonly have frequency-dependent outcomes and so require analysis using evolutionary game theory. Learning provides a mechanism for tracking changing conditions and it has frequently been predicted to supplant fixed behaviour in shifting environments; yet few studies have examined the evolution of learning specifically in a game-theoretic context. We present a model that examines the evolution of learning in a frequency-dependent context created by a producer–scrounger game, where producers search for their own resources and scroungers usurp the discoveries of producers. We ask whether a learning mutant that can optimize its use of producer and scrounger to local conditions can invade a population of non-learning individuals that play producer and scrounger with fixed probabilities. We find that learning provides an initial advantage but never evolves to fixation. Once a stable equilibrium is attained, the population is always made up of a majority of fixed players and a minority of learning individuals. This result is robust to variation in the initial proportion of fixed individuals, the rate of within- and between-generation environmental change, and population size. Such learning polymorphisms will manifest themselves in a wide range of contexts, providing an important element leading to behavioural syndromes.
机译:在社会环境中的行为决策通常具有与频率相关的结果,因此需要使用进化博弈论进行分析。学习提供了一种跟踪变化情况的机制,人们经常预测它会在变化的环境中取代固定的行为。但是,很少有研究专门在博弈论的背景下研究学习的发展。我们提出了一个模型,该模型在由生产者-垄断者游戏创建的频率相关的上下文中检查学习的演变,在该过程中,生产者寻找自己的资源,而新兴者掠夺​​了生产者的发现。我们问一个能够根据当地条件优化生产者和繁殖者使用的学习突变体是否可以入侵具有固定概率的生产者和繁殖者的非学习型个体。我们发现学习提供了最初的优势,但从未演变为专注。一旦达到稳定的平衡,人口就总是由多数固定参与者和少数学习个体组成。该结果对于固定个体初始比例,代内和代间环境变化率以及人口规模的变化具有鲁棒性。这样的学习多态性将在广泛的环境中体现出来,提供了导致行为综合症的重要因素。

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