Samaneh Hoseindoost

Samaneh Hoseindoost


Start: Sep. 2014
Finish: Apr. 2017
Thesis Title: A Model Driven Framework for Developing Multi Agent Systems in Emergency Response Environments
Supervisor: Dr. Bahman Zamani       Co-Supervisor: Dr. Afsaneh Fatemi Khorasgani
Current Position: Ph.D. Candidate at University of Isfahan

Thesis Abstract:

Emergency Response Environments are environments in which unexpected events may occur. ‎Due to the high level of emergency in these events‎, ‎there is a need for prior planning‎, ‎training and supplying resources for operations. ‎One of the effective approaches for making decisions by crisis managers ‎is modeling and simulating emergency response environments‎. ‎In emergency response environments‎, ‎there are variant entities with different behaviors. ‎These entities with their interactions between them‎ ‎form a complex system that can be well modeled as a multi-agent system‎.
‎The complexity of multi-agent systems is one of the significant challenges of the systems‎. ‎Hence implementing software systems for them is difficult and complicated‎. ‎To overcome this complexity‎, ‎the use of modern software engineering approaches‎, ‎such as model-driven development‎, ‎may be very helpful‎. ‎This approach help designers to overcome the complexity of highly interactive dynamic systems and obtain automatically generated code from the model‎. ‎To achieve this goal‎, ‎two important prerequisites are considered in model-driven development‎: ‎a domain-specific modeling language for designing an emergency response environment model‎, ‎and transformation programs for automatic code generation from a model‎.
‎In this thesis‎, ‎a domain-specific modeling language named ERE-ML 2.0 and a tool for modeling by this language‎, ‎is defined‎. ‎Using ERE-ML 2.0 tool‎, ‎it is possible to model an emergency situation and then validate the model against the predefined constraints‎. ‎After designing and validating the model‎, ‎the executable code of a multi-agent system is automatically generated based on a model-driven approach‎. ‎For this purpose‎, ‎several model to code transformations are written such that by executing them it is possible to transform a model that is designed in ERE-ML 2.0 tool into executable Java code‎. ‎For executing the generated code‎, ‎the JAMDER platform was extended according to the ERE-ML 2.0 modeling language‎. ‎To evaluate the proposed framework‎, several case studies such as ‎the case study of Plasco Tower Collapse are modeled‎, ‎and the scenarios are defined in the model and are visualized in the generated system‎. ‎The results of the evaluation show that comparing to the ‎traditional approach‎es such as programming, using the proposed framework‎, ‎the required time for development process is reduced‎, ‎the level of abstraction in system development and flexibility in modeling emergency response scenarios is increased‎.




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