Formal Consensus Models in Belief Networks: Theorectical Development and an Application to Advanced Clean Coal Technology

IRI-9424378 Jayant Kalagnanam和布鲁斯艾布拉姆森卡内基梅隆大学$86，434 - 12月。 信度网络中的形式一致性模型：理论发展及其在先进洁净煤技术中的应用 相当数量的智能系统设计者倾向于将信念网络作为系统知识库的基础。 该项目使用信念网络作为开发正式共识模型的框架，以协调来自多个专家的不同建议。 对正式共识模型的需求源于这样一个事实，即决策者经常向多位专家寻求建议。 该项目中的信念网络研究是在各种先进清洁煤技术的决策需要的背景下进行的，这些技术承诺减少环境排放，同时提高燃煤电厂的效率并降低运营成本。 因此，该项目的产品将包括这一重要领域的信念网络和信念网络的正式共识模型。

IRI-9424378 Jayant Kalagnanam and Bruce Abramson Carnegie-Mellon University $86,434 - 12 mos. Formal Consensus Models in Belief Networks: Theoretical Developments and an Application to Advanced Clean Coal Technology A significant number of intelligent system designers favor belief networks as the formalism underlying their systems' knowledge bases. This project uses belief networks as the framework for developing formal consensus models for reconciling disparate recommendations from multiple experts. The need for formal consensus models stems from the fact that decision-makers often seek advice from multiple experts. Research in belief networks within this project is pursued within the context of the need for decisions among various advanced clean coal technologies that promise to reduce environmental discharges while simultaneously improving coal plant efficiency and reducing operating costs. So products of this project will include both belief networks in this important area and formal consensus models for belief networks.