Using probabilistic networks for the London plan knowledge representation

Amin Hosseinian-Far; Hamid Jahankhani; Elias Pimenidis

doi:10.1109/CIS.2011.6169146

Using probabilistic networks for the London plan knowledge representation

Amin Hosseinian-Far
, Hamid Jahankhani
, Elias Pimenidis

Business Systems & Operations

Research output: Contribution to Book/Report › Chapter › peer-review

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. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011
Pages	123-127
Number of pages	5
DOIs	https://doi.org/10.1109/CIS.2011.6169146
Publication status	Published - 2011

Publication series

Name	Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

DAG
Discrete Influence Diagrams
Knowledge Representation
LQCG Influence Diagram
London Plan
Probabilistic Networks

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10.1109/CIS.2011.6169146

Cite this

Hosseinian-Far, A., Jahankhani, H., & Pimenidis, E. (2011). Using probabilistic networks for the London plan knowledge representation. In Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011 (pp. 123-127). (Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011). https://doi.org/10.1109/CIS.2011.6169146

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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. {\textcopyright} 2011 IEEE.",

keywords = "DAG, Discrete Influence Diagrams, Knowledge Representation, LQCG Influence Diagram, London Plan, Probabilistic Networks",

author = "Amin Hosseinian-Far and Hamid Jahankhani and Elias Pimenidis",

year = "2011",

doi = "10.1109/CIS.2011.6169146",

language = "English",

isbn = "9781467306874",

series = "Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011",

pages = "123--127",

booktitle = "Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011",

}

Hosseinian-Far, A, Jahankhani, H & Pimenidis, E 2011, Using probabilistic networks for the London plan knowledge representation. in Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011. Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011, pp. 123-127. https://doi.org/10.1109/CIS.2011.6169146

Using probabilistic networks for the London plan knowledge representation. / Hosseinian-Far, Amin; Jahankhani, Hamid; Pimenidis, Elias.
Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011. 2011. p. 123-127 (Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011).

Research output: Contribution to Book/Report › Chapter › peer-review

TY - CHAP

T1 - Using probabilistic networks for the London plan knowledge representation

AU - Hosseinian-Far, Amin

AU - Jahankhani, Hamid

AU - Pimenidis, Elias

PY - 2011

Y1 - 2011

N2 - 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. © 2011 IEEE.

AB - 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. © 2011 IEEE.

KW - DAG

KW - Discrete Influence Diagrams

KW - Knowledge Representation

KW - LQCG Influence Diagram

KW - London Plan

KW - Probabilistic Networks

UR - http://www.mendeley.com/research/using-probabilistic-networks-london-plan-knowledge-representation

U2 - 10.1109/CIS.2011.6169146

DO - 10.1109/CIS.2011.6169146

M3 - Chapter

SN - 9781467306874

T3 - Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011

SP - 123

EP - 127

BT - Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011

ER -

Hosseinian-Far A, Jahankhani H, Pimenidis E. Using probabilistic networks for the London plan knowledge representation. In Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011. 2011. p. 123-127. (Proceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011). doi: 10.1109/CIS.2011.6169146

Using probabilistic networks for the London plan knowledge representation

Abstract

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UN SDGs

Keywords

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