• 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