DocumentCode :
3540723
Title :
Using probabilistic networks for the London plan knowledge representation
Author :
Hosseinian-Far, Amin ; Jahankhani, Hamid ; Pimenidis, Elias
Author_Institution :
Sch. of Comput., IT & Eng., Univ. of East London, London, UK
fYear :
2011
fDate :
1-2 Sept. 2011
Firstpage :
123
Lastpage :
127
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.
Keywords :
climate mitigation; environmental factors; knowledge representation; probability; social sciences; strategic planning; ID evaluation; London plan knowledge representation; Policy 4A; climate change; environmental aspects; financial assessment; influence diagrams; policy 4A.2; probabilistic networks; social aspects; strategic plan; Accuracy; Bayesian methods; Cogeneration; Cognition; Complexity theory; Insulation; Probabilistic logic; DAG; Discrete Influence Diagrams; Knowledge Representation; LQCG Influence Diagram; London Plan; Probabilistic Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetic Intelligent Systems (CIS), 2011 IEEE 10th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4673-0687-4
Type :
conf
DOI :
10.1109/CIS.2011.6169146
Filename :
6169146
Link To Document :
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