DIAL: A Distributed Intelligent Agent Laboratory

这项工作的重点是研究人工智能之间的协调 系统. 一个目标是采用为以下目的开发的技术： 协调的不同方面，并将其统一在一个单一的 计算理论 最初，这项工作将开发一个 形式主义和计算理论，可以导致新的 协调技术，通过将单独的 计划、组织设计和进度安排的方法。 这一理论提供了一个强有力的框架， 性能，降低开销，提高可靠性， 灵活管理AI系统之间的分布式资源。 的 工作将导致建立一个通用协调框架， 开发人工智能系统，因为我们相信， 与他人的互动是智力的基础。 DIAL的第二个目标是建立一个实验性的 验证协调理论的基础设施， 发现新的理论 为了便于比较 在DIAL和其他地方的替代理论，一个多才多艺， 研制便携式仿真试验台。 技术将 也可以集成到实际的移动的机器人中， 感知、行动、推理和交流之间的相互作用 在实时物理系统中。 这项研究将有助于铺平道路 将智能的、协作的机器人引入真实的世界的方法- 世界环境。

This work focuses on the study of coordination between AI systems. One objective is to take techniques developed for different aspects of coordination and unify them in a single computational theory. Initially, the work will develop a formalism and computational theory that can lead to novel coordination techniques by drawing together the separate approaches of planning, organizational design, and scheduling. This theory provides a powerful framework for improving performance, reducing overhead, increasing reliability, and flexibly managing distributed resources among AI systems. The work will lead toward a generic coordination framework for developing AI systems, because we believe that reasoning about interactions with others is fundamental to intelligence. A second objective of DIAL is to build an experimental infrastructure for validating coordination theories and discovering new theories. To facilitate comparisons between alternative theories both within DIAL and elsewhere, a versatile, portable simulation testbed will be developed. Techniques will also be integrated into actual mobile robots to investigate the interplay between sensing, acting, reasoning, and communicating in real-time physical systems. The research will help pave the way for introducing intelligent, cooperating robots into real- world environments.