A new urban segregation-growth coupled model using a belief-desire-intention possibilistic framework

Abstract : We study the feasibility of using Belief, Desire and Intention agents for modeling the phenomena of urban growth and segregation. Uncertainty, typical of real world situations is modeled using possibility theory. We have also implemented a simple visualization tool whose aim is to track the changes in the model. Some preliminary experiments suggest that such an approach might allow a decision-maker to dynamically track the changes in the model. Besides, it is also possible to interact with the different steps of the simulation via the model. Our proposal makes it possible to simulate the interactions between cognitive agents in an economical environment while taking the spatial context into account.
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Communication dans un congrès
Amit P. Sheth; Axel Ngonga; Yin Wang; Elizabeth Chang; Dominik Ślęzak; Bogdan Franczyk; Rainer Alt; Xiaohui Tao; Rainer Unland. International Conference on Web Intelligence, Aug 2017, Leipzig, Germany. ACM, pp.340 - 347, 2017, Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23–26, 2017. <http://webintelligence2017.com/>. <10.1145/3106426.3106486>
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https://hal.archives-ouvertes.fr/hal-01575135
Contributeur : Andrea G. B. Tettamanzi <>
Soumis le : jeudi 17 août 2017 - 23:05:51
Dernière modification le : lundi 4 septembre 2017 - 11:40:42

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Meili Vanegas-Hernandez, Célia Da Costa Pereira, Diego Moreno, Giovanni Fusco, Andrea Tettamanzi, et al.. A new urban segregation-growth coupled model using a belief-desire-intention possibilistic framework. Amit P. Sheth; Axel Ngonga; Yin Wang; Elizabeth Chang; Dominik Ślęzak; Bogdan Franczyk; Rainer Alt; Xiaohui Tao; Rainer Unland. International Conference on Web Intelligence, Aug 2017, Leipzig, Germany. ACM, pp.340 - 347, 2017, Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23–26, 2017. <http://webintelligence2017.com/>. <10.1145/3106426.3106486>. <hal-01575135>

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