[1] K. Mustapha, H. Mcheick, and S. Mellouli, “Modeling and simulation agent-based of natural disaster complex systems,” in Proceedings of the 4th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, pp. 148–155, 2013.
[2] I. Thabet, M. Chaawa, and L. Ben Said, “A multi-agent organizational model for a snow storm crisis management,” in Proceedings of the International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries, pp. 143–156, 2014.
[3] J. M. Gascueña, E. Navarro, and A. Fernández-Caballero, “Model-driven engineering techniques for the development of multi-agent systems,” Engineering Applications of Artificial Intelligence, vol. 25, no. 1, pp. 159–173, 2012.
[5] Y. S. Lopes, “Desenvolvimento orientado a modelos em sistemas multi-agentes com diferentes arquiteturas internas de agente.,” M.Sc. thesis, Ceará State University, 2012.
[6] B. Bauer, J. P. Müller, and J. Odell, “Agent UML: A Formalism for Specifying Multiagent Interaction,” International Journal of Software Engineering and Knowledge Engineering, vol. 11, no. 3, pp. 207–230, 2001.
[7] OMG, “Unified Modeling Language (UML) - Version 2.5.” [Online]. Available: http://www.omg.org/spec/UML/2.5/. [Accessed: 26-Mar-2017].
[8] M. Winikoff, “Towards making agent UML practical: A textual notation and a tool,” in Proceedings of the International Conference on Quality Software, pp. 401–406, 2005.
[9] C. Hahn, “A Domain Specific Modeling Language for Multiagent Systems,” in Proceedings of 7th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2008), pp. 233–240, 2008.
[10] R. F. Jorge J. Gómez-Sanz, “Agent Oriented Software Engineering with INGENIAS,” in Proceedings of the International Central and Eastern European Conference on Multi-Agent Systems, pp. 394–403, 2003.
[11] J. Pavón, J. Gómez-Sanz, and R. Fuentes, “The INGENIAS Methodology and Tools,” in Agent-oriented methodologies., B. Henderson-Sellers and P. Giorgini, Ed. IGI Global, 2005, pp. 236–276.
[12] J. J. Gómez-Sanz, C. R. Fernández, and J. Arroyo, “Model driven development and simulations with the INGENIAS agent framework,” Simulation Modelling Practice and Theory, vol. 18, no. 10, pp. 1468–1482, 2010.
[13] V. T. Da Silva, R. Choren, and C. J. P. De Lucena, “MAS-ML: a multiagent system modelling language,” International Journal of Agent-Oriented Software Engineering, vol. 2, no. 4, pp. 382–421, 2008.
[14] V. Silva, A. Garcia, A. Brandao, C. Chavez, C. Lucena, and P. Alencar, “Taming agents and objects in software engineering,” Software Engineering for Large-scale Multi-agent Systems, pp. 1–28, 2003.
[15] E. J. T. Gonçalves, K. Farias, M. I. Cortés, A. R. Feijó, F. R. Oliveira, and V. T. Da Silva, “MAS-ML tool: A modeling environment for multi-agent systems,” in Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS 2011), pp. 192–197, 2011.
[16] Y. S. Lopes, E. J. T. Goncalves, M. I. Cortés, and E. S. S. Freire, “A MDA Approach Using MAS-ML 2.0 and JAMDER,” in 13th International Workshop on Agent-Oriented Software Engineering, 2012.
[17] S. H. Othman, G. Beydoun, and V. Sugumaran, “Development and validation of a disaster management metamodel,” Information Processing and Management, vol. 50, pp. 235–271, 2014.
[18] S. H. Othman and G. Beydoun, “A Metamodel-based Knowledge Sharing System for Disaster Management,” Expert Systems with Applications, vol. 63, pp. 49–65, 2016.
[19] H. Betke, “Structure and Elements of Disaster Response Processes – A General Meta-Model,” in Proceedings of the Information Systems for Crisis Response and Management Conference (ISCRAM 2015), pp. 1-5, 2015.
[20] S. H. Othman and G. Beydoun, “Metamodelling Approach To Support Disaster Management Knowledge Sharing,” in 21st Australasian Conference on Information Systems (ACIS 2010), pp. 1–10, 2010.
[21] T. Adamzadeh, B. Zamani, and A. Fatemi, “A modeling language to model mitigation in emergency response environments,” in Proceedings of the 4th International Conference on Computer and Knowledge Engineering (ICCKE 2014), pp. 302–307, 2014.