Robustness from Non-Stop Collaboration

不间断协作带来的稳健性

• 批准号: 0534978
• 负责人: Patrick Winston
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-11-15 至 2008-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534978&HistoricalAwards=false
• 关键词: Robustness; Non; Stop; Collaboration

Proposal 0534978"Robustness from Non-Stop Collaboration"PI: Patrick H. WinstonMITThis proposal seeks to understand how robust behavior can emerge from modules that collectively develop descriptions and cooperatively solve problems at a level beyond the ability of any one module operating individually. For instance, human language and vision systems cooperate to form a world view that is beyond what either could produce individually. A key aspect of this project is to understand how the necessary intermodular communication capabilities grow as the modules grow in their individual capabilities, and how such communication can be tolerant of imperfections in the communications. This research approaches this problem through development of composable intermodular channels, using two enabling ideas: fusion maps and self-configuring communication channels. Fusion maps use constraint propagation, elevated to operate between modules and across representations, to determine semantic correspondences between modules and to support bi-directional transfer of knowledge from a module that is more certain of information to those that are less so. Self-configuring communication channels learn constraints between modules from shared experiences; this idea addresses the twin problems of when should a channel attempt to learn and how can useful equivalences actually be learned. The project will investigate these ideas on the problem of forming a composite record of activities from data collected from a diverse set of sensors (e.g., images, sound), for instance, in an office domain where there can be a variety of activities. Besides giving insight into the nature of intelligence, this research will improve the robustness of computer systems, important in many contexts from the control of dangerous equipment to the mitigation of natural disasters.

提案0534978“来自不间断协作的鲁棒性”PI: Patrick H. winstonmit该提案旨在理解鲁棒性行为是如何从模块中产生的，这些模块集体开发描述并在超出任何一个模块单独操作能力的水平上合作解决问题。例如，人类的语言和视觉系统合作形成了一种世界观，这是任何一方都无法单独产生的。这个项目的一个关键方面是理解必要的模块间通信能力如何随着模块各自能力的增长而增长，以及这种通信如何能够容忍通信中的不完美。本研究采用融合映射和自配置通信信道两种实现思路，通过开发可组合的模块化信道来解决这一问题。融合映射使用约束传播，提升到在模块之间和跨表示之间操作，以确定模块之间的语义对应，并支持知识从一个信息更确定的模块到那些信息不确定的模块的双向传递。自配置通信渠道从共享经验中学习模块之间的约束；这个想法解决了两个问题：渠道何时应该尝试学习，以及如何真正学习有用的等价。该项目将调查这些想法，以解决从各种传感器（例如，图像、声音）收集的数据形成活动综合记录的问题，例如，在可能有各种活动的办公室领域。除了深入了解智能的本质之外，这项研究还将提高计算机系统的稳健性，这在从控制危险设备到减轻自然灾害的许多情况下都很重要。