论文标题
学习代理组织中的协作搜索和自主任务分配
Collaborative search and autonomous task allocation in organizations of learning agents
论文作者
论文摘要
本文介绍了具有静态结构的多单元组织的模型，即，它们是根据组织设计或动态结构的经典方法设计的自上而下的，即随着时间的推移，从微观的决策中出现了结构。在后一种情况下，这些单位能够学习他们所面临的任务的技术相互依存关系，并通过不时调整任务分配来利用知识。在静态组织和动态组织中，寻找提高性能的动作可以单独或协作进行。结果表明，（i）协作搜索过程可以帮助克服效率低下的任务分配的不利影响，只要与其他组织设计元素具有内部拟合度，并且（ii）对于动态组织，即使是相同的（甚至更高的），即使组织的技术相互依存关系不一定会反映组织的技术相互依存关系，甚至可以反映组织的技术相互依存关系。
This paper introduces a model of multi-unit organizations with either static structures, i.e., they are designed top-down following classical approaches to organizational design, or dynamic structures, i.e., the structures emerge over time from micro-level decisions. In the latter case, the units are capable of learning about the technical interdependencies of the task they face, and they use their knowledge by adapting the task allocation from time to time. In both static and dynamic organizations, searching for actions to increase the performance can either be carried out individually or collaboratively. The results indicate that (i) collaborative search processes can help overcome the adverse effects of inefficient task allocations as long as there is an internal fit with other organizational design elements, and (ii) for dynamic organizations, the emergent task allocation does not necessarily mirror the technical interdependencies of the task the organizations face, even though the same (or even higher) performances are achieved.
