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。如果这发生在考绩制度上，对组织效率的积极影响很可能与已经见证的对个人生产力的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。这个项目涉及到这样一个理论的表述和语言形式化。该理论旨在体现可作为从面向知识的角度描述、研究、设计、测试和管理人/计算机分布式决策系统的基础的结构和原理。该理论的发展必然要借鉴和整合组织科学、计算机科学、决策科学的相关研究。在实验的基础上验证了该理论和语言的有效性。优先研究计划中涉及的具体研究主题包括如何处理决策鼓动、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.