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SIMULATION AS AN EFFECTIVE INSTRUMENT FOR STRATEGIC PLANNING AND TRANSFORMATION OF SMART CITIES

Б. И. Клебанов

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.1/s07.087View metrics

Abstract

This paper details findings of the complex research aimed at the strategic planning effective instrument finding and postulates that simulation with agent-based models implementation can become this instrument. Every city model is an immensely complex artefact, as it should be a set of interrelated digital twins of social living and infrastructural non-living objects, which are to reflect the real objects in the dynamics of their lifecycles, at the same time, providing an opportunity for developing effective control measures and means. If one considers an active agent to be an intellectual entity, and wants to model their behaviour, it is necessary to look for the agent?s motivation. In the model, motivation for every individual?s act or action is represented through their needs. Common algorithms of needs meeting in the form of recipes are stored in the main data base of the model, in Global Knowledge Base. This paper also delivers description both in verbal and graphical forms the algorithm of recipes implementation.

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Publication details

Title
SIMULATION AS AN EFFECTIVE INSTRUMENT FOR STRATEGIC PLANNING AND TRANSFORMATION OF SMART CITIES
Authors
Б. И. Клебанов
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
685-692
SWS Citekey
Klebanov20187685692
ISSN
1314-2704
ISBN
978-619-7408-39-3
Language
en
Publication type
Conference Paper
Keywords
References8
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  3. Arthur W.B., Complexity economics: a different framework for economic thought. Santa Fe Institute Working paper: 2013-04-012, 2013.

  4. Makarov V.L., Bakhtizin A.R., Social modeling – new computer breakthrough (agent – based models), Economics, Russia, 296 p., 2013.

  5. Maslow A. H. Motivation and Personality. Harper & Row, Publishers, Inc., 1954.

  6. Heckhausen H., Motivation and Action, Cambridge University Press, 2008.

  7. Ali Orhan Aydın, Mehmet Ali Orgun, The Reactive-Causal Architecture: Radar Task Simulation, Journal of Artificial Societies and Social Simulation, 2012, URL: http://jasss.soc.surrey.ac.uk/15/4/5.

  8. Klebanov B.I., Antropov T.V., Cycle of the needs satisfaction, and information support of the society development simulation system, AIP Conference Proceedings, vol. 1836, Issue 1, pp. 020039, 2017.

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Number of times cited according to Crossref: 2

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