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Using cognitively inspired agents and information supply chains to anticipate and share information for decision making teams.

机译:使用受认知启发的代理和信息供应链来为决策团队预测和共享信息。

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摘要

September 11 and hurricane Katrina have shown that timely information is important not only for disaster prevention but especially valuable in effective disaster response. From the point of view of information and communication technologies, the challenge is how to coordinate information sharing effectively among members of a complex decision-making team (e.g. the first responders for a disaster). A common difficulty is to provide useful and time-sensitive information to team members quickly but at the same time not overwhelm them with irrelevant information. This problem has also been encountered in other application domains that require effective communication in a team environment: examples include military command and control, heath care, and global enterprise.;Research in the area of team cognition suggests that anticipating information needs of other teammates is a key behavior for achieving highly efficient and effective teamwork. Guided by this finding, a framework of Information Supply Chain (ISC) is proposed and implemented in this thesis research. ISC contains three novel features. First, it anticipates information requirements using a cognitively inspired decision model. Second, it consolidates and prioritizes the information requirements using a novel planning algorithm. Third, it integrates inference, information seeking, and auction for satisfying the information requirements. The ISC framework is formalized using existing agent theories as well as implemented in an agent architecture called R-CAST. The efficiency and the formation of ISC are evaluated using an experiment in a simulated "information market".;This research has made two major contributions in addressing the challenges of information sharing among decision-making teams. First, more accurate information needs can be anticipated using a high-level cognitive model of decision-makers. This avoids "pushing" irrelevant information to a decision-maker, which often leads to information overload. Second, the cost associated with information seeking and distributing activities can be greatly reduced because these activities can now be well-coordinated within the ISC framework. In summary, the work presented in this thesis can help a human team to make better decisions under time pressure, especially in a distributed environment where an immense amount of information and knowledge are scattered among members of the team.
机译:9月11日的飓风和卡特里娜飓风表明,及时的信息不仅对防灾非常重要,而且对于有效的灾难应对尤其重要。从信息和通信技术的角度来看,挑战在于如何有效地协调复杂的决策团队成员(例如灾难的第一响应者)之间的信息共享。一个常见的困难是迅速向团队成员提供有用且对时间敏感的信息,但同时又不给他们提供无关紧要的信息。在需要在团队环境中进行有效通信的其他应用程序领域中也遇到了此问题:例如军事指挥与控制,健康护理和全球性企业。;在团队认知领域的研究表明,预测其他队友的信息需求是实现高效和有效团队合作的关键行为。在这一发现的指导下,本文提出并实施了一个信息供应链(ISC)框架。 ISC包含三个新颖的功能。首先,它使用认知启发决策模型来预测信息需求。其次,它使用一种新颖的计划算法来合并信息需求并确定其优先级。第三,它将推理,信息搜索和拍卖相结合,以满足信息需求。 ISC框架使用现有的代理理论进行了形式化,并在称为R-CAST的代理体系结构中实现。使用模拟的“信息市场”中的实验评估了ISC的效率和形成。该研究在应对决策团队之间信息共享的挑战方面做出了两大贡献。首先,可以使用决策者的高级认知模型来预测更准确的信息需求。这样可以避免将无关的信息“推送”给决策者,这通常会导致信息过载。第二,与信息搜索和分发活动相关的成本可以大大降低,因为现在可以在ISC框架内很好地协调这些活动。总而言之,本文提出的工作可以帮助人类团队在时间压力下做出更好的决策,尤其是在团队成员之间散布了大量信息和知识的分布式环境中。

著录项

  • 作者

    Sun, Shuang.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 289 p.
  • 总页数 289
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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