Bureaucracy and Artificial Intelligence: Logic Modelling ofBureaucratic Systems (Computer and Information Science)

官僚制与人工智能：官僚系统的逻辑建模（计算机与信息科学）

• 批准号: 8715297
• 负责人: Ronald Lee
• 金额: $ 15.17万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-02-01 至 1992-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8715297&HistoricalAwards=false
• 关键词: Bureaucracy; Artificial; Intelligence; Logic; Modelling

This research is to study and develop formal models of bureaucratic communications. Application is to the development of artificially intelligent bureaucratic communication networks that can reason and advise about bureaucratic rules and procedures, monitor and expedite message handling, utilize heuristics to circumvent procedural breakdowns, accommodate exception handling, and facilitate adaptation and evolution of bureaucratic rule structures. The research focuses on structured communications within bureaucracies; that is, communications having a bounded syntax and vocabulary (e.g., bureaucratic forms, verifications, requests). The purpose is to understand the basic nature of these communications, and to reduce them to symbolic form, amenable to machine reasoning. A logic-based representation of bureaucratic messages and communication is proposed. The significance of the research is that it will lead to a deeper understanding of the role and limitations of bureaucratic rationalization, and the potential application of artificial intelligence technology in bureaucracies.

本研究旨在研究和开发 官僚通信 应用是为了发展 人工智能官僚通信网络， 能够对官僚主义的规则和程序进行推理并提出建议， 监控和加快消息处理，利用电子邮件， 避免程序故障，适应异常处理， 促进官僚统治的适应和演变 结构. 研究重点是内部的结构化通信 官僚机构;也就是说，通信具有有限的语法， 词汇（例如，官僚形式、核查、请求）。 目的是了解这些基本性质 沟通，并减少他们的象征形式，服从 机器推理 官僚主义的逻辑表征 消息和通信。 这项研究的意义在于，它将导致一个 更深入地了解官僚主义的作用和局限性 合理化，以及人工 官僚机构中的情报技术