Distributed Decision Making: A Multiparticipant Decision Support Systems Framework

这项研究的动机是这样一个命题，即计算机在支持个人决策方面的巨大成功可以重复用于分布式决策。如果这成为现实，对组织效率的积极影响可能会像那些已经见证了个人生产力的积极影响一样重要和深远。首先需要的是组织如何表示和处理知识的理论。这个项目涉及这样一个理论的表述和语言形式化。该理论旨在体现结构和原则，这些结构和原则可以作为从面向知识的角度描述、研究、设计、测试和管理人机分布式决策系统的基础。该理论的发展必然借鉴和整合了组织科学、计算机科学和决策科学的相关研究。在实验的基础上对理论和语言的有效性进行了检验。在优先的研究计划中，具体的研究课题包括处理决策唆使、目标驱动和无目标处理、角色间设计、事件触发处理、并发问题处理、服务器、实体构成、经验学习、人机界面和参与者协调。

This research is motivated by the proposition that the tremendous successes of computers in supporting individual decision making can be repeated for distributed decision making. If this comes to pas, the positive implications for organization effectiveness are likely to be as significant and far reaching as those already witnessed for individual productivity. What is needed first is a theory of how organizations represent and process knowledge. This project involves the formulation and linguistic formalization of such a theory. The theory aims to embody constructs and principles that can serve as a basis for describing, studying, designing, testing and managing human/computer distributed decision making systems from a knowledge oriented perspective. Development of the theory necessarily draws on and integrated related research in organization science, Computer science, and decision science. Efficacy of the theory and language is tested on an experimental basis. Specific research topics addressed within the prioritized research plan include the treatment of decision instigation, goal-drive and goal- less processing, inter-role design, event-triggered processing, concurrent problem processing, servers, entity constitution, learning from experience, human interfaces, and participant coordination.