Abstract
The increase in population is increasing the growth of the number of residues. A large amount of this waste can be recycled so that it does not remain in uncontrolled landfills, pollute air, land or water. Although many campaigns and policies of recycling have been developed all-way there is not a total awareness about this problem and a large number of waste does not end up in the right place to be recycled. It is necessary to increase the amount of recycled waste and for this citizen participation is key. It is vital to involve the population in a more active way to recycle through some kind of social benefit. For this reason, GarbMAS proposes a system that generates a motivation for citizen participation by reducing the garbage tax applied by its local government. Thus, the increase in the amount of waste collected to be recycled is expected. GarbMAS employs a multi-agent system that simulates data collection and efficient waste management in cities through gamification techniques to produce the change motivation of citizens and therefore increase participation and recycled quantity. The case study in which the simulation was carried out showed an increase in citizen participation by 34.2% and an increase of 29.4% in the amount of waste collected.
J. A. García Coria—IEEE.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Briones, A.G., González, J.R., de Paz Santana, J.F.: A drug identification system for intoxicated drivers based on a systematic review. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J. 4(4), 83–101 (2015)
Chamoso, P., De la Prieta, F., De Paz, F., Corchado, J.M.: Swarm agent-based architecture suitable for internet of things and smartcities. In: 12th International Conference on Distributed Computing and Artificial Intelligence, pp. 21–29. Springer, Cham (2015)
Eurostat, Statistics Explained. Waste statistics (2018). http://ec.europa.eu/eurostat/statistics-explained/index.php/Waste_statistics. Accessed 19 Dec 2017
García, Ó., Alonso, R.S., Prieto, J., Corchado, J.M.: Energy efficiency in public buildings through context-aware social computing. Sensors 17(4), 826 (2017)
García, Ó., Alonso, R.S., Tapia, D.I., Corchado, J.M.: CAFCLA: a framework to design, develop, and deploy AMI-based collaborative learning applications. In: Recent Advances in Ambient Intelligence and Context-Aware Computing, pp. 187–209. IGI Global (2015)
García, O., Chamoso, P., Prieto, J., Rodríguez, S., de la Prieta, F.: A serious game to reduce consumption in smart buildings. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 481–493. Springer, Cham (2017)
González Briones, A., Chamoso, P., Barriuso, A.L.: Review of the Main Security Problems with Multi-Agent Systems used in E-commerce Applications (2016)
González, A., Ramos, J., De Paz, J.F., Corchado, J.M.: Obtaining relevant genes by analysis of expression arrays with a multi-agent system. In: 9th International Conference on Practical Applications of Computational Biology and Bioinformatics, pp. 137–146. Springer, Cham (2015)
González-Briones, A., Ramos, J., De Paz, J.F., Corchado, J.M.: Multi-agent system for obtaining relevant genes in expression analysis between young and older women with triple negative breast cancer. J. Integr. Bioinform. 12(4), 1–14 (2015)
González-Briones, A., Villarrubia, G., De Paz, J.F., Corchado, J.M.: A multi-agent system for the classification of gender and age from images. Comput. Vis. Image Underst. (2018). https://doi.org/10.1016/j.cviu.2018.01.012
González-Briones, A., Chamoso, P., Yoe, H., Corchado, J.M.: GreenVMAS: virtual organization based platform for heating greenhouses using waste energy from power plants. Sensors 18, 861 (2018)
González-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors 18, 865 (2018)
Meng, X., Wen, Z., Qian, Y.: Multi-agent based simulation for household solid waste recycling behavior. Resour. Conserv. Recycl. 128, 535–545 (2018)
Mishra, N., Kumar, V., Chan, F.T.: A multi-agent architecture for reverse logistics in a green supply chain. Int. J. Prod. Res. 50(9), 2396–2406 (2012)
Rodríguez, S., de Paz, Y., Bajo, J., Corchado, J.M.: Social-based planning model for multiagent systems. Expert Syst. Appl. 38(10), 13005–13023 (2011)
Tapia, D.I., Alonso, R.S., De Paz, J.F., Corchado, J.M.: Introducing a distributed architecture for heterogeneous wireless sensor networks. In: International Work-Conference on Artificial Neural Networks, pp. 116–123. Springer, Heidelberg (2009)
The European Container Glass Federation. FEVE PR recycling 2013 (2017). http://feve.org/wp-content/uploads/2016/04/Press-Release-EU.pdf. Accessed 19 Dec 2017
Wood woRking INdustry RecycliNG. Waste statistics (2017). https://ec.europa.eu/growth/tools-databases/eip-raw-materials/en/content/wood-working-industry-recycling. Accessed 19 Dec 2017
Yang, Q.Z., Sheng, Y.Z., Shen, Z.Q.: Agent-based simulation of economic sustainability in waste-to-material recovery. In: 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1150–1154. IEEE (2011)
Acknowledgements
This research has been partially supported by the European Regional Development Fund (FEDER) within the framework of the Interreg program V-A Spain-Portugal 2014-2020 (PocTep) under the IOTEC project grant 0123_IOTEC_3_E and by FEDER funds under the projects TIN2016-75850-R. The research of Alfonso González-Briones has been co-financed by the European Social Fund (Operational Programme 2014-2020 for Castilla y León, EDU/310/2015 BOCYL).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
González-Briones, A. et al. (2019). RETRACTED CHAPTER: GarbMAS: Simulation of the Application of Gamification Techniques to Increase the Amount of Recycled Waste Through a Multi-agent System. In: De La Prieta, F., Omatu, S., Fernández-Caballero, A. (eds) Distributed Computing and Artificial Intelligence, 15th International Conference. DCAI2018 2018. Advances in Intelligent Systems and Computing, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-319-94649-8_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-94649-8_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94648-1
Online ISBN: 978-3-319-94649-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)