Development planning based on interoperable agent driven simulation

Massei, Marina; Poggi, Simonluca; Agresta, Matteo; Ferrando, Angelo

doi:10.1016/j.jocs.2014.01.004

Cited by 12 publications

(9 citation statements)

References 14 publications

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“…The evaluation and prediction of the outcome of natural disasters have been extensively studied in the technical literature. The studies presented in [22][23][24][25] use agent-based simulation tools for population modeling, infrastructure development planning, country reconstruction humanitarian support operations, and simulation of rivers and overflows, among others. These studies can be used by people involved in planning rescue activities.…”

Section: Related Workmentioning

confidence: 99%

Bot-Based Emergency Software Applications for Natural Disaster Situations

2022

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Upon a serious emergency situation such as a natural disaster, people quickly try to call their friends and family with the software they use every day. On the other hand, people also tend to participate as a volunteer for rescue purposes. It is unlikely and impractical for these people to download and learn to use an application specially designed for aid processes. In this work, we investigate the feasibility of including bots, which provide a mechanism to get inside the software that people use daily, to develop emergency software applications designed to be used by victims and volunteers during stressful situations. In such situations, it is necessary to achieve efficiency, scalability, fault tolerance, elasticity, and mobility between data centers. We evaluate three bot-based applications. The first one, named Jayma, sends information about affected people during the natural disaster to a network of contacts. The second bot-based application, Ayni, manages and assigns tasks to volunteers. The third bot-based application named Rimay registers volunteers and manages campaigns and emergency tasks. The applications are built using common practice for distributed software architecture design. Most of the components forming the architecture are from existing public domain software, and some components are even consumed as an external service as in the case of Telegram. Moreover, the applications are executed on commodity hardware usually available from universities. We evaluate the applications to detect critical tasks, bottlenecks, and the most critical resource. Results show that Ayni and Rimay tend to saturate the CPU faster than other resources. Meanwhile, the RAM memory tends to reach the highest utilization level in the Jayma application.

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Section: Related Workmentioning

confidence: 99%

Bot-Based Emergency Software Applications for Natural Disaster Situations

2022

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“…Situations of social crisis, such as street protests or demonstrations, have social sensitivity, are not repeatable, and are characterized by suddenness and high uncertainty, the relevant data is difficult to obtain. The existing literature has often used numerical analysis [31], [34], case analysis [67] and social simulation [68]- [70] to test the accuracy and applicability of mathematical models to analyze social crises, including mass incidents, emergency evacuations [68], "not in my backyard" incidents [67], and acts of terrorism [31], [34]. Considering the shortage of case analysis for situations with low recurrence, Eisenhardt [71] advises that there need to be at least four or more cases, or some smaller cases embedded into a larger case, in order for the case analysis method to be applied to construct a new theory.…”

Section: Multi-agent Modeling and Simulation Based Case Of Ningbo Px Incident In 2009mentioning

confidence: 99%

An Extensive Evolutionary Mental Game Model for the Mandatory Evacuation of Protesters by Police

Lei

et al. 2021

IEEE Access

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The street protests and other mass demonstrations that have occurred frequently in recent years have resulted in considerable political pressure and have destabilized countries. How governments respond to such emergencies, and whether to evacuate protesters quickly, has been one of the most important public management challenges facing modern governments. In the case of evacuating protesters through police force, issues to consider include the cognitive differences among the conflicting parties and the cost-benefit considerations between the alternative strategies of mandatory evacuation and compromise. In this paper, the evolutionary dynamic of the mandatory evacuation of protesters by police is analyzed by extensive evolutionary game theory. Considering the cognitive differences among the conflicting parties, mental models of the interactions between government officials and protesters are constructed, which can not only avoid the uncertainty of evolutionary equilibrium but also consider the belief learning in the interior of the dynamic stage game. The evolutionary dynamic analysis of the mandatory evacuation of protesters is subsequently performed. To verify the effectiveness of the model set out, a multiagent simulation analysis based on a real case study of the Ningbo PX incident is presented. Furthermore, the decision-making related to police evacuation of protesters is based on the cost-benefit analysis between mandatory evacuation and compromise, the minimal number of police required, and the on-the-spot deployment plans of the police. The analysis shows that when facing protesters marching along a street, the evacuation measures are more effective if the police actions target the first several rows of protesters. However, in the case of protesters gathering near iconic buildings (or surrounding their demonstration leaders), the emergency plan of the mandatory evacuation of the protesters is less effective.

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“…In order to improve involvement and motivation of the players it was decided to adopt the MS2G approach (Modeling, interoperable Simulation and Serious Games) that guarantee the engagement of user and modularity of the models (Bruzzone, 2018;De Gloria et al, 2012). In fact, the creation of interesting and immersive scenarios allows to achieve multiple objectives, for instance to acquire more data by stimulating player to perform more simulation runs; in this way it is possible to use the serious games not only for training of people assessment, but also to capture emergent tactics and effective playing strategies by the multiple users based on crowdsourcing approach (Massei et al 2014;Bruzzone et al2017c). In JANUS, it was created a set of predefined data for basic playing, therefore, the system is fully open to be further integrated with other models and data, modifying information accordingly to the parallel evolution of the scenario thanks to the flexibility of the proposed interoperable models.…”

Section: Janusmentioning

confidence: 99%