GorimWeb: Role-Playing Game for Hydric Resources Management on Web Platform

• Vinicius Martins FURG
• Giovani Farias FURG
• Marina Fernandes FURG
• Raquel Barbosa IFRS
• Eder Gonçalves FURG
• Diana Adamatti FURG

DOI: https://doi.org/10.5753/eniac.2024.244382

Resumo

Computational games have been increasingly used not only for entertainment but also for corporate training. Role-playing games are particularly well-suited for training purposes. This study focuses on the implementation and analysis of a web-based role-playing game for hydric resources called GorimWeb. For the implementation, various requirements were defined. These included supporting the game board’s playability, storing and exporting data such as logs and chat, accommodating varying numbers of players, and integrating multi-agent systems. Additionally, the game needed a well-structured user interface, good performance, and reliable web availability. The software architecture of the game was also defined. Validation was conducted through two surveys, one before and one after gameplay. The results allowed us to assess the interfaces and hypotheses using the survey responses and the messages exchanged via chat during the game.

Palavras-chave: Multiagent Systems, Role-Playing Game, Hydric Resources Management

Referências

Adamatti, D. F., Sichman, J. S. a., 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.

Ahmad, S. and Simonovic, S. P. (2005). An artificial neural network model for generating hydrograph from hydro-meteorological parameters. Journal of Hydrology, 315(1-4):236–251.

Barreteau, O., Bousquet, F., and Attonaty, J.-M. (2001). Role-playing games for opening the black box of multi-agent systems: Method and lessons of its application to senegal river valley irrigated systems. Journal of Artificial Societies and Social Simulation, 4.

Barreteau, O., Le Page, C., and D’aquino, P. (2003). Role-playing games, models and negotiation processes. Journal of Artificial Societies and Social Simulation, 6(2).

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.

Campo, P. C., Mendoza, G. A., Guizol, P., Villanueva, T. R., and Bousquet, F. (2009). Exploring management strategies for community-based forests using multi-agent systems: A case study in palawan, philippines. Journal of Environmental Management, 90(11):3607 – 3615.

Farias, G., Leitzke, B., Born, M., Aguiar, M., and Adamatti, D. (2019). Systematic review of natural resource management using multiagent systems and role-playing games. In 18th Mexican International Conference on Artificial Intelligence - MICAI, Xalapa. Springer.

Fuller, M. M., Wang, D., Gross, L. J., and Berry, M. W. (2007). Computational science for natural resource management. Computing in Science & Engineering, 9(4):40.

Gilbert, N. and Troitzsch, K. (2005). Simulation for the social scientist. McGraw-Hill Education (UK).

Le Page, C., 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.

Le Page, C. and Perrotton, A. (2017). Kilt: A modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders. In Sukthankar, G. and Rodriguez-Aguilar, J. A., editors, Autonomous Agents and Multiagent Systems, pages 31–44, Cham. Springer International Publishing.

Leitzke, B., Farias, G., Melo, M., Gonçalves, M., Born, M., Rodrigues, P., Martins, V., Barbosa, R., Aguiar, M., and Adamatti, D. (2019). Sistema multiagente para gestão de recursos hídricos: Modelagem da bacia do são gonçalo e da lagoa mirim. In Anais do X Workshop de Computação Aplicada a Gestão do Meio Ambiente e Recursos Naturais, Belém, Pará, Brasil.

Lesser, V. R. (1999). Cooperative multiagent systems: a personal view of the state of the art. IEEE Transactions on Knowledge and Data Engineering, 11(1):133–142.

Mariano, D. C. B., Leite, C., Santos, L. H. S., Rocha, R. E. O., and de Melo-Minardi, R. C. (2017). A guide to performing systematic literature reviews in bioinformatics. arXiv preprint arXiv:1707.05813.

Pereira, C. E. K. (2003). Construção de personagem & aquisição de linguagem: O desafio do rpg no ines. In vol. 10,(jul/dez) Rio de Janeiro INES, 2004 Semestral ISSN 1518-2509 1–Forum–Instituto Nacional de Educação de Surdos, page 7.

Perrotton, A., Garine-Wichatitsky, D., Fox, H. V., 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.

Tundisi, J. G. (2006). Novas perspectivas para a gestão de recursos hídricos. Revista USP, 1(70):24–35.