Decision-Making Based on Practical Knowledge

基于实践知识的决策

• 批准号: 9015570
• 负责人: Michael Fischer
• 金额: $ 30万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-08-15 至 1993-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9015570&HistoricalAwards=false
• 关键词: Decision; Making; Based; Practical; Knowledge

Geanakoplos Zuck This research is funded under the Special Initiative on Coordination Theory and Collaboration Technology. This is one of eleven winners under that competition. How to make decisions in the face of uncertainty is a core problem in many computer science and economic modelling problems. However, there are a number of weaknesses in the traditional approaches to modelling knowledge. Among them are assumption that there are perfect reasoners and that inferences can be based on arbitrarily deep levels of knowledge. This research on coordination theory is to develop a new notion of practical knowledge upon which to base coordinated decision making. Practical knowledge will take account of several factors which limit a reasoner's deductive ability such as computational resources available to the reasoner, imperfections in the reasoner's ability to carry out correct deductions, and faultiness and incompleteness in the data available to the reasoner. Many of these factors have been studied previously in isolation. This research extends and unifies such work in order to come up with a comprehensive theory of sound reasoning in a practical multi-agent environment.

Geanakoplos Zuck 这项研究是由联合国特别倡议资助的。 协调理论与协作技术。 这是 该比赛有十一名获胜者。 面对不确定性如何决策是一个核心 许多计算机科学和经济建模问题。 然而，传统的方法存在一些弱点， 建模知识的方法。 其中，假设 存在完美的推理者，推理可以基于 任意深度的知识。 了这项研究 协调理论是发展一个新的概念， 以协调决策为基础的知识。 实践知识将考虑到几个因素， 限制推理者的演绎能力，例如计算能力， 推理者可用的资源， 推理者进行正确推理的能力，以及 委员会现有数据的不完善和不完整， 推理家 这些因素中的许多已经在以前的 隔离 本研究是对这一工作的延伸和统一， 提出一个全面的理论， 多智能体环境。