Um estudo voltado a Modelos Ambientais envolvendo Sistemas Multiagentes e/ou Jogos de Papéis
Resumo
Para que a gestão dos recursos naturais seja feita de maneira responsável, deve-se pensar em ferramentas que auxiliem na tomada de decisão e analisem as interações entre os agentes envolvidos no problema. Baseados na Inteligencia Artificial, como uma forma de simular situações futuras relacionadas à gestão de recursos naturais, os Sistemas Multiagentes e os Jogos de Papéis são técnicas que podem ser utilizadas. Neste trabalho, alguns artigos recentes, que abordam essas técnicas no contexto de Modelos Ambientais, são explorados, com o intuito de um melhor entendimento sobre seu uso em conjunto, visando futuras aplicações na área.
Referências
Adamatti, D. F., Sichman, J. S., and Coelho, H. (2009). An analysis of the insertion of virtual players in gmabs methodology using the vip-jogoman prototype. Journal of Artificial Societies and Social Simulation, 12(3):7.
Bousquet, F., Barreteau, O., d’Aquino, P., Etienne, M., Boissau, S., Aubert, S., Le Page, C., Babin, D., and Castella, J.-C. (2002). Multi-agent systems and role games: Collective learning processes for ecosystem management. Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Approaches, pages 248–285.
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.
Dupont, H., Gourmelon, F., Rouan, M., Le Viol, I., and Kerbiriou, C. (2016). The contribution of agent-based simulations to conservation management on a natura 2000 site. Journal of environmental management, 168:27–35.
Ghazi, S., Dugdale, J., and Khadir, T. (2018). A multi-agent based approach for simulating the impact of human behaviours on air pollution. Informatica, 42(2).
Han, Q., Tan, G., Fu, X., Mei, Y., and Yang, Z. (2018). Water resource optimal allocation based on multi-agent game theory of hanjiang river basin. Water, 10(9):1184.
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.
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.
Perrotton, A., de Garine-Wichatitsky, M., Valls-Fox, H., and Le Page, C. (2017). My cattle and your park: codesigning a role-playing game with rural communities to promote multistakeholder dialogue at the edge of protected areas. Ecology and Society, 22(1).
Ponte, B., De la Fuente, D., Parreño, J., and Pino, R. (2016). Intelligent decision support system for real-time water demand management. International Journal of Computational Intelligence Systems, 9(1):168–183.
Shelton, R. E., Baeza, A., Janssen, M. A., and Eakin, H. (2018). Managing household socio-hydrological risk in mexico city: A game to communicate and validate computational modeling with stakeholders. Journal of environmental management, 227:200–208.
Yang, L. E., Scheffran, J., Süsser, D., Dawson, R., and Chen, Y. D. (2018). Assessment of flood losses with household responses: Agent-based simulation in an urban catchment area. Environmental Modeling & Assessment, pages 1–20.
Étienne, M. (2010). La modélisation d’accompagnement: une démarche participative en appui au développement durable. Éditions QUAE.
Bousquet, F., Barreteau, O., d’Aquino, P., Etienne, M., Boissau, S., Aubert, S., Le Page, C., Babin, D., and Castella, J.-C. (2002). Multi-agent systems and role games: Collective learning processes for ecosystem management. Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Approaches, pages 248–285.
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.
Dupont, H., Gourmelon, F., Rouan, M., Le Viol, I., and Kerbiriou, C. (2016). The contribution of agent-based simulations to conservation management on a natura 2000 site. Journal of environmental management, 168:27–35.
Ghazi, S., Dugdale, J., and Khadir, T. (2018). A multi-agent based approach for simulating the impact of human behaviours on air pollution. Informatica, 42(2).
Han, Q., Tan, G., Fu, X., Mei, Y., and Yang, Z. (2018). Water resource optimal allocation based on multi-agent game theory of hanjiang river basin. Water, 10(9):1184.
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.
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.
Perrotton, A., de Garine-Wichatitsky, M., Valls-Fox, H., and Le Page, C. (2017). My cattle and your park: codesigning a role-playing game with rural communities to promote multistakeholder dialogue at the edge of protected areas. Ecology and Society, 22(1).
Ponte, B., De la Fuente, D., Parreño, J., and Pino, R. (2016). Intelligent decision support system for real-time water demand management. International Journal of Computational Intelligence Systems, 9(1):168–183.
Shelton, R. E., Baeza, A., Janssen, M. A., and Eakin, H. (2018). Managing household socio-hydrological risk in mexico city: A game to communicate and validate computational modeling with stakeholders. Journal of environmental management, 227:200–208.
Yang, L. E., Scheffran, J., Süsser, D., Dawson, R., and Chen, Y. D. (2018). Assessment of flood losses with household responses: Agent-based simulation in an urban catchment area. Environmental Modeling & Assessment, pages 1–20.
Étienne, M. (2010). La modélisation d’accompagnement: une démarche participative en appui au développement durable. Éditions QUAE.
Publicado
02/05/2019
Como Citar
LEITZKE, Bruna S.; ADAMATTI, Diana F..
Um estudo voltado a Modelos Ambientais envolvendo Sistemas Multiagentes e/ou Jogos de Papéis. 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. 212-217.
ISSN 2326-5434.
