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离散世代模型中的进化稳定学习策略与累积文化

Evolutionarily stable learning schedules and cumulative culture in discrete generation models.

作者信息

Aoki Kenichi, Wakano Joe Yuichiro, Lehmann Laurent

机构信息

Department of Biological Sciences, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan.

出版信息

Theor Popul Biol. 2012 Jun;81(4):300-9. doi: 10.1016/j.tpb.2012.01.006. Epub 2012 Jan 27.

Abstract

Individual learning (e.g., trial-and-error) and social learning (e.g., imitation) are alternative ways of acquiring and expressing the appropriate phenotype in an environment. The optimal choice between using individual learning and/or social learning may be dictated by the life-stage or age of an organism. Of special interest is a learning schedule in which social learning precedes individual learning, because such a schedule is apparently a necessary condition for cumulative culture. Assuming two obligatory learning stages per discrete generation, we obtain the evolutionarily stable learning schedules for the three situations where the environment is constant, fluctuates between generations, or fluctuates within generations. During each learning stage, we assume that an organism may target the optimal phenotype in the current environment by individual learning, and/or the mature phenotype of the previous generation by oblique social learning. In the absence of exogenous costs to learning, the evolutionarily stable learning schedules are predicted to be either pure social learning followed by pure individual learning ("bang-bang" control) or pure individual learning at both stages ("flat" control). Moreover, we find for each situation that the evolutionarily stable learning schedule is also the one that optimizes the learned phenotype at equilibrium.

摘要

个体学习(例如试错学习)和社会学习(例如模仿学习)是生物体在环境中获取和表现出合适表型的两种不同方式。在个体学习和/或社会学习之间做出的最优选择可能取决于生物体的生命阶段或年龄。特别值得关注的是一种社会学习先于个体学习的学习模式,因为这样的模式显然是累积文化的必要条件。假设每一个离散世代有两个必要的学习阶段,我们得出了在环境恒定、世代间波动或代内波动这三种情况下的进化稳定学习模式。在每个学习阶段,我们假设生物体可以通过个体学习来针对当前环境中的最优表型,和/或通过间接社会学习来针对上一代的成熟表型。在不存在学习的外部成本的情况下,进化稳定学习模式预计要么是先进行纯粹的社会学习,然后是纯粹的个体学习(“开关式”控制),要么在两个阶段都是纯粹的个体学习(“平稳式”控制)。此外,我们发现在每种情况下,进化稳定学习模式也是在平衡状态下使所学表型最优化的模式。

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