This paper proposes models of learning processes in teams of individuals who collectively execute a sequence of tasks and whose actions are determined by individual skill levels and networks of interpersonal appraisals and influence. The closely-related proposed models have increasing complexity, starting with a centralized manager-based assignment and learning model, and finishing with a social model of interpersonal appraisal, assignments, learning, and influences. We show how rational optimal behavior arises along the task sequence for each model, and discuss conditions of suboptimality. Our models are grounded in replicator dynamics from evolutionary games, influence networks from mathematical sociology, and transactive memory systems from organization science.

中文翻译：

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解释集体学习的评估网络动态模型


本文提出了个人团队的学习过程模型，这些个人集体执行一系列任务，其行为由个人技能水平以及人际评估和影响网络决定。密切相关的提出的模型越来越复杂，从基于管理者的集中分配和学习模型开始，到人际评估、分配、学习和影响的社会模型结束。我们展示了每个模型的任务序列如何产生合理的最优行为，并讨论次优的条件。我们的模型基于进化博弈的复制动力学、数学社会学的影响网络以及组织科学的交互记忆系统。