How Initial Representations Shape Coupled Learning Processes
通过代理基模型研究组织内不同领域专家在耦合学习中的初始表征作用，发现当沟通受限且学习速率高时，产生错误信念的初始表征可能优于无区分或混合表征。
Coupled learning processes, in which specialists from different domains learn how to make interdependent choices among alternatives, are common in organizations. We explore the role played by initial representations held by the learners in coupled learning processes using a formal agent-based model. We find that initial representations have important consequences for the success of the coupled learning process, particularly when communication is constrained and individual rates of learning are high. Under these conditions, initial representations that generate incorrect beliefs can outperform one that does not discriminate among alternatives, or even a mix of correct and incorrect representations among the learners. We draw implications for the design of coupled learning processes in organizations.