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Artificial Intelligence Approach to Creative Data Manipulation for Optimisation of Livelihood Oriented Urban Planning and Management

Volume 15, Number 2, February 2019, pp. 602-610
DOI: 10.23940/ijpe.19.02.p24.602610

Jiafeng Zhoua, Tian Liub, and Lin Zouc

aCreative Centre for Arts-Science-Architecture (CCASA), Jilin Jianzhu University, Jilin, 130118, China
bSchool of Tourism and Foreign Languages, Henan Institute of Economics and Trade, Zhengzhou, 450000, China
cCentre for Creative Computing, Bath Spa University, Bath, LE1 7RH, England, UK


(Submitted on November 15, 2018; Revised on December 20, 2018; Accepted on January 17, 2019)

Abstract:

Livelihood oriented urban planning management (LOUPM), which holds that all economic and political activities center on human development, involves many aspects like the object, subject, system, and its aim. This paper aims to address the optimisation of LOUPM aspects through creative computing. Software systems will be engineered to help achieve optimised solutions in urban planning and management. By involving artificial intelligence, the proposed controller is engineered to output related data, which will be re-inputs of edited results into the system. This paper raises a way to improve the context-aware ability of the controller through a data manipulation tool that enhances the self-adaptive software to solve both certain and uncertain problems especially in livelihood oriented planning and management. The controller employs control theory-based modules and combination-based modules to generate outputs more than activities with costs or balanced scorecards. In this process, Livelihood Orientation (LO) context sensors are added. The controller with LO sensors relies heavily on the extraction and filtering of LO data collected and should be capable of reacting to environment changes. Thus, this controller enables the self-adaptive software to know users’ needs precisely. Not only can the preset parameters be changed, but also the self-adaptivity is able to modify parameters. This creative approach is economical, effective, and efficient in LOUPM.

 

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