Modelagem Baseada em Agentes para Análise de Recursos Hídricos
Resumo
O artigo tem por objetivo apresentar a modelagem de uma bacia hidrográfica para a análise do uso dos recursos hídricos utilizando a plataforma GAMA. Na atualidade, diversos modelos baseados em sistemas multiagente (SMA) são utilizados para a gestão de recursos naturais e apresentam resultado satisfatório neste tipo de cenário. A ferramenta GAMA é baseada em agentes e amplamente utilizada neste contexto, com diversos estudos já publicados. Neste estudo, considerou-se a bacia hidrográfica São Gonçalo e Lagoa Mirim a partir de dados georreferenciados. Na modelagem, regiões e rios são agentes no sistema, sendo que a água dos rios pode fluir entre regiões vizinhas.
Referências
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Amouroux, E., Chu, T.-Q., Boucher, A., and Drogoul, A. (2009). GAMA: An environment for implementing and running spatially explicit multi-agent simulations. In Ghose, A., Governatori, G., and Sadananda, R., editors, Agent Computing and MultiAgent Systems, pages 359–371, Berlin, Heidelberg. Springer Berlin Heidelberg.
Amouroux, E., Desvaux, S., and Drogoul, A. (2008). Towards virtual epidemiology: An agent-based approach to the modeling of h5n1 propagation and persistence in northvietnam. In Bui, T. D., Ho, T. V., and Ha, Q. T., editors, Intelligent Agents and MultiAgent Systems, pages 26–33, Berlin, Heidelberg. Springer Berlin Heidelberg.
Boissier, O., Bordini, R. H., Hübner, J. F., Ricci, A., and Santi, A. (2011). Multi-agent oriented programming with JaCaMo. Science of Computer Programming.
Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming Multi-Agent Systems in AgentSpeak using Jason. John Wiley & Sons.
Bordini, R. H., Vieira, R., and Moreira, A. F. (2001). Fundamentos de sistemas multiagentes. In Anais do XXI Congresso da Sociedade Brasileira de Computação (SBC2001), volume 2, pages 3–41.
Bousquet, F. and Le Page, C. (2004). Multi-agent simulations and ecosystem management: a review. Ecological modelling, 176(3-4):313–332.
Chu, T.-Q., Drogoul, A., Boucher, A., and Zucker, J.-D. (2009). Interactive learning of independent experts’ criteria for rescue simulations. J. UCS, 15:2701–2725.
Coppin, B. (2010). Inteligência Artificial. Rio de Janeiro: LTC, 3a edition.
Dos Santos, F. P., Adamatti, D., Rodrigues, H., Dimuro, G., Jerez, E. D. M., Dimuro, G., et al. (2016). A multiagent-based tool for the simulation of social production and management of urban ecosystems: a case study on san jerónimo vegetable gardenseville, spain. Journal of Artificial Societies and Social Simulation, 19(3):1–12.
Filatova, T., Verburg, P. H., Parker, D. C., and Stannard, C. A. (2013). Spatial agentbased models for socio-ecological systems: Challenges and prospects. Environmental modelling & software, 45:1–7.
Gaudou, B., Sibertin-Blanc, C., Therond, O., Amblard, F., Auda, Y., Arcangeli, J.-P., Balestrat, M., Charron-Moirez, M.-H., Gondet, E., Hong, Y., Lardy, R., Louail, T., Mayor, E., Panzoli, D., Sauvage, S., Sánchez-Pérez, J.-M., Taillandier, P., Van Bai, N., Vavasseur, M., and Mazzega, P. (2014). The MAELIA multi-agent platform for integrated analysis of interactions between agricultural land-use and low-water management strategies. In Alam, S. J. and Parunak, H. V. D., editors, Multi-Agent-Based Simulation XIV, pages 85–100, Berlin, Heidelberg. Springer Berlin Heidelberg.
Hübner, J. F., Bordini, R. H., and Vieira, R. (2004). Introdução ao desenvolvimento de sistemas multiagentes com jason. XII Escola de Informática da SBC, 2:51–89.
Hübner, J. F., Sichman, J. S., and Boissier, O. (2007). Developing organised multiagent systems using the MOISE+ model: programming issues at the system and agent levels. Int. J. Agent-Oriented Software Engineering, 1(3/4):370–395.
Li, G., Wang, Y., Huang, D., and Yang, H. (2017). Water-energy-food nexus in urban sustainable development: an agent-based model. International Journal of Crowd Science, 1(2):121–132.
Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., and Balan, G. (2005). Mason: A multiagent simulation environment. SIMULATION, 81(7):517–527.
Nguyen Vu, Q. A., Gaudou, B., Canal, R., and Hassas, S. (2009). Coherence and robustness in a disturbed mas. In 2009 IEEE-RIVF International Conference on Computing and Communication Technologies, pages 1–4.
North, M. J., Collier, N. T., and Vos, J. R. (2006). Experiences creating three implementations of the repast agent modeling toolkit. ACM Trans. Model. Comput. Simul., 16(1):1–25.
Page, C. L., Bousquet, F., Bakam, I., Bah, A., and Baron, C. (2000). CORMAS : A multiagent simulation toolkit to model natural and social dynamics at multiple scales. In Wageningen : Resource Modeling Association.
Page, C. L., Dray, A., Perez, P., and Garcia, C. (2016). Exploring how knowledge and communication influence natural resources management with rehab. Simulation & Gaming, 47(2):257–284.
Ricci, A., Piunti, M., Viroli, M., and Omicini, A. (2009). Environment programming in CArtAgO. In Multi-Agent Programming: Languages, Tools and Applications, Multiagent Systems, Artificial Societies, and Simulated Organizations, chapter 8, pages 259–288. Springer.
SEMA (2019). Secretaria do Meio Ambiente e Infraestrutura - L040 - Bacia Hidrográfica da Lagoa Mirim e do Canal São Gonçalo. [link] [Online; accessed 31 mar. 2019].
Taillandier, P. and Buard, E. (2009). Designing agent behaviour in agent-based simulation through participatory method. In Yang, J.-J., Yokoo, M., Ito, T., Jin, Z., and Scerri, P., editors, Principles of Practice in Multi-Agent Systems, pages 571–578, Berlin, Heidelberg. Springer Berlin Heidelberg.
Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q.-N., Marilleau, N., Caillou, P., Philippon, D., and Drogoul, A. (2018). Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica.
Thérond, O., Sibertin-Blanc, C., Lardy, R., Gaudou, B., Balestrat, M., Hong, Y., Louail, T., Nguyen, V. B., Panzoli, D., Sanchez-Perez, J.-M., Sauvage, S., Taillandier, P., Vavasseur, M., and Mazzega, P. (2014). Integrated modelling of social-ecological systems: The MAELIA high-resolution multi-agent platform to deal with water scarcity problems. In 7th International Environmental Modelling and Software Society (iEMSs 2014), page pp. 1, San Diego, California, United States.
Tisue, S. and Wilensky, U. (2004). Netlogo: A simple environment for modeling complexity. In International Conference on Complex Systems, volume 21, pages 16–21, Boston, MA.
Wooldridge, M. (2002). An introduction to multi agent systems, department of computer science, university of liverpool, uk.
Yu, S., He, L., and Lu, H. (2016). An environmental fairness based optimisation model for the decision-support of joint control over the water quantity and quality of a river basin. Journal of Hydrology, 535.
Alvares, L. O. and Sichman, J. S. (1997). Introduçao aos sistemas multiagentes. In XVII Congresso da SBC-Anais JAI’97.
Amouroux, E., Chu, T.-Q., Boucher, A., and Drogoul, A. (2009). GAMA: An environment for implementing and running spatially explicit multi-agent simulations. In Ghose, A., Governatori, G., and Sadananda, R., editors, Agent Computing and MultiAgent Systems, pages 359–371, Berlin, Heidelberg. Springer Berlin Heidelberg.
Amouroux, E., Desvaux, S., and Drogoul, A. (2008). Towards virtual epidemiology: An agent-based approach to the modeling of h5n1 propagation and persistence in northvietnam. In Bui, T. D., Ho, T. V., and Ha, Q. T., editors, Intelligent Agents and MultiAgent Systems, pages 26–33, Berlin, Heidelberg. Springer Berlin Heidelberg.
Boissier, O., Bordini, R. H., Hübner, J. F., Ricci, A., and Santi, A. (2011). Multi-agent oriented programming with JaCaMo. Science of Computer Programming.
Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming Multi-Agent Systems in AgentSpeak using Jason. John Wiley & Sons.
Bordini, R. H., Vieira, R., and Moreira, A. F. (2001). Fundamentos de sistemas multiagentes. In Anais do XXI Congresso da Sociedade Brasileira de Computação (SBC2001), volume 2, pages 3–41.
Bousquet, F. and Le Page, C. (2004). Multi-agent simulations and ecosystem management: a review. Ecological modelling, 176(3-4):313–332.
Chu, T.-Q., Drogoul, A., Boucher, A., and Zucker, J.-D. (2009). Interactive learning of independent experts’ criteria for rescue simulations. J. UCS, 15:2701–2725.
Coppin, B. (2010). Inteligência Artificial. Rio de Janeiro: LTC, 3a edition.
Dos Santos, F. P., Adamatti, D., Rodrigues, H., Dimuro, G., Jerez, E. D. M., Dimuro, G., et al. (2016). A multiagent-based tool for the simulation of social production and management of urban ecosystems: a case study on san jerónimo vegetable gardenseville, spain. Journal of Artificial Societies and Social Simulation, 19(3):1–12.
Filatova, T., Verburg, P. H., Parker, D. C., and Stannard, C. A. (2013). Spatial agentbased models for socio-ecological systems: Challenges and prospects. Environmental modelling & software, 45:1–7.
Gaudou, B., Sibertin-Blanc, C., Therond, O., Amblard, F., Auda, Y., Arcangeli, J.-P., Balestrat, M., Charron-Moirez, M.-H., Gondet, E., Hong, Y., Lardy, R., Louail, T., Mayor, E., Panzoli, D., Sauvage, S., Sánchez-Pérez, J.-M., Taillandier, P., Van Bai, N., Vavasseur, M., and Mazzega, P. (2014). The MAELIA multi-agent platform for integrated analysis of interactions between agricultural land-use and low-water management strategies. In Alam, S. J. and Parunak, H. V. D., editors, Multi-Agent-Based Simulation XIV, pages 85–100, Berlin, Heidelberg. Springer Berlin Heidelberg.
Hübner, J. F., Bordini, R. H., and Vieira, R. (2004). Introdução ao desenvolvimento de sistemas multiagentes com jason. XII Escola de Informática da SBC, 2:51–89.
Hübner, J. F., Sichman, J. S., and Boissier, O. (2007). Developing organised multiagent systems using the MOISE+ model: programming issues at the system and agent levels. Int. J. Agent-Oriented Software Engineering, 1(3/4):370–395.
Li, G., Wang, Y., Huang, D., and Yang, H. (2017). Water-energy-food nexus in urban sustainable development: an agent-based model. International Journal of Crowd Science, 1(2):121–132.
Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., and Balan, G. (2005). Mason: A multiagent simulation environment. SIMULATION, 81(7):517–527.
Nguyen Vu, Q. A., Gaudou, B., Canal, R., and Hassas, S. (2009). Coherence and robustness in a disturbed mas. In 2009 IEEE-RIVF International Conference on Computing and Communication Technologies, pages 1–4.
North, M. J., Collier, N. T., and Vos, J. R. (2006). Experiences creating three implementations of the repast agent modeling toolkit. ACM Trans. Model. Comput. Simul., 16(1):1–25.
Page, C. L., Bousquet, F., Bakam, I., Bah, A., and Baron, C. (2000). CORMAS : A multiagent simulation toolkit to model natural and social dynamics at multiple scales. In Wageningen : Resource Modeling Association.
Page, C. L., Dray, A., Perez, P., and Garcia, C. (2016). Exploring how knowledge and communication influence natural resources management with rehab. Simulation & Gaming, 47(2):257–284.
Ricci, A., Piunti, M., Viroli, M., and Omicini, A. (2009). Environment programming in CArtAgO. In Multi-Agent Programming: Languages, Tools and Applications, Multiagent Systems, Artificial Societies, and Simulated Organizations, chapter 8, pages 259–288. Springer.
SEMA (2019). Secretaria do Meio Ambiente e Infraestrutura - L040 - Bacia Hidrográfica da Lagoa Mirim e do Canal São Gonçalo. [link] [Online; accessed 31 mar. 2019].
Taillandier, P. and Buard, E. (2009). Designing agent behaviour in agent-based simulation through participatory method. In Yang, J.-J., Yokoo, M., Ito, T., Jin, Z., and Scerri, P., editors, Principles of Practice in Multi-Agent Systems, pages 571–578, Berlin, Heidelberg. Springer Berlin Heidelberg.
Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q.-N., Marilleau, N., Caillou, P., Philippon, D., and Drogoul, A. (2018). Building, composing and experimenting complex spatial models with the GAMA platform. GeoInformatica.
Thérond, O., Sibertin-Blanc, C., Lardy, R., Gaudou, B., Balestrat, M., Hong, Y., Louail, T., Nguyen, V. B., Panzoli, D., Sanchez-Perez, J.-M., Sauvage, S., Taillandier, P., Vavasseur, M., and Mazzega, P. (2014). Integrated modelling of social-ecological systems: The MAELIA high-resolution multi-agent platform to deal with water scarcity problems. In 7th International Environmental Modelling and Software Society (iEMSs 2014), page pp. 1, San Diego, California, United States.
Tisue, S. and Wilensky, U. (2004). Netlogo: A simple environment for modeling complexity. In International Conference on Complex Systems, volume 21, pages 16–21, Boston, MA.
Wooldridge, M. (2002). An introduction to multi agent systems, department of computer science, university of liverpool, uk.
Yu, S., He, L., and Lu, H. (2016). An environmental fairness based optimisation model for the decision-support of joint control over the water quantity and quality of a river basin. Journal of Hydrology, 535.
Publicado
02/05/2019
Como Citar
FARIAS, Giovani P.; LEITZKE, Bruna S.; BORN, Míriam B.; AGUIAR, Marilton S. de; ADAMATTI, Diana F..
Modelagem Baseada em Agentes para Análise de Recursos Hídricos. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 13. , 2019, Florianópolis/SC.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 107-118.
ISSN 2326-5434.
