PYI: Real-Time AI, Cooperative Problem Solving, and Intelligent Systems

PYI：实时人工智能、协作解决问题和智能系统

• 批准号: 9158473
• 负责人: Edmund Durfee
• 金额: $ 27.5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-08-01 至 1998-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9158473&HistoricalAwards=false
• 关键词: PYI; Real; Time; AI; Cooperative

This is the first year base amount funding of a five-year PYI continuing award. This PYI will continue his research on distributed artificial intelligence (AI) with an emphasis on building intelligent computing systems for dynamic, multiagent applications. The research uses blackboard systems and other integrating architectures that allow an agent's perception, reasoning, communication, and motor components to collectively control an agent's behavior. The PI is also pursuing work in real-time artificial intelligence. He is working on developing preliminary theories of real-time reasoning that account for both meeting deadlines and for negotiating to change deadlines. This work on techniques for negotiating ties into his additional research interest in uncovering the general principles underlying coordination between intelligent agents. The goal is to build interdisciplinary theories of coordination, drawing on concepts from management science and operations research as well as AI, and to embody these theories in practical mechanisms for coordinating multiple intelligent computing systems. The near term plan is to develop a core of interdisciplinary concepts using a hierarchy of behavioral specifications as a common representation, with the long-term objective of developing fundamental theories of a science of coordination. The researcher is also interested in applying techniques for coordinating AI systems to problems in human-human and human- computer interactions.

这是五年PYI持续奖励的第一年基本资金。这个PYI将继续他对分布式人工智能（AI）的研究，重点是为动态、多代理应用程序构建智能计算系统。该研究使用黑板系统和其他集成架构，允许智能体的感知、推理、通信和运动组件共同控制智能体的行为。PI也在进行实时人工智能方面的工作。他正在开发实时推理的初步理论，该理论既可以解释会议截止日期，也可以解释谈判更改截止日期。这项关于协商关系技术的工作进入了他的另一个研究兴趣，即揭示智能代理之间协调的一般原理。目标是建立跨学科的协调理论，借鉴管理科学和运筹学以及人工智能的概念，并将这些理论体现在协调多个智能计算系统的实际机制中。近期的计划是发展一个跨学科概念的核心，使用行为规范的层次结构作为一个共同的表示，长期目标是发展协调科学的基本理论。研究人员还对应用协调人工智能系统的技术来解决人机交互和人机交互问题感兴趣。