Using probabilistic networks for the London plan knowledge representation

A. Hosseinian-Far, H. Jahankhani, E. Pimenidis
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引用次数: 3

Abstract

London Plan is the London mayor's strategic plan. Policy 4A puts forward the “Tackling climate change” scenario. Many research studies have analyzed the environmental and social aspects of the policy, but lack of an extensive financial assessment is identifiable. The Influence Diagrams in this paper concern financial assessment of Policy 4A.2 of the London Plan. Its nature is complex, uncertain and requires prediction. Probabilistic Networks are novel tools for policy Knowledge Representation. This paper outlines Influence diagrams construction for London Plan case. It also analyses the variables, functions and the relationships in between and gives an overview of ID evaluation. In addition an introduction of efficiency analysis of the ID is given.
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基于概率网络的伦敦规划知识表示
伦敦计划是伦敦市长的战略计划。政策4A提出了“应对气候变化”情景。许多研究分析了该政策的环境和社会方面,但可以确定的是缺乏广泛的财务评估。本文的影响图涉及4A政策的财务评估。伦敦计划2。它的本质是复杂的,不确定的,需要预测。概率网络是政策知识表示的新工具。本文概述了伦敦规划案例的影响图构建。分析了变量、函数以及它们之间的关系,并对ID评价进行了概述。此外,还介绍了内径的效率分析方法。
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