0000000000134081
AUTHOR
Julie Dugdale
A Predictive Approach for the Efficient Distribution of Agent-Based Systems on a Hybrid-Cloud
International audience; Hybrid clouds are increasingly used to outsource non-critical applications to public clouds. However, the main challenge within such environments, is to ensure a cost-efficient distribution of the systems between the resources that are on/off premises. For Multi Agent Systems (MAS), this challenge is deepened due to irregular workload progress and intensive communication between the agents, which may result in high computing and data transfer costs. Thus, in this paper we propose a generic framework for adaptive cost-efficient deployment of MAS with a special focus on hybrid clouds. The framework is based mainly on the use of a performance evaluation process that con…
An ABM to support collective reflection on the evolution of mobility
International audience; Transport infrastructures play a large part in defining a smart, sustainable and resilient city. Planning transportation systems traditionally rely on well-known evolutions of roads or public transportation (roundabouts for security, etc.). Yet, infrastructures might also benefit from, or may have to adapt to, recent disruptive innovations concerning modalities, technologies and societal organization (autonomous cars, smart infrastructure, homeworking, etc.). However, innovative urban policies might either facilitate mobility and increase citizen well-being, or create negative side effects. Urban planning therefore requires the city to assess the impact of these disr…
A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning
Published version of a chapter in the book: Recent Trends in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-38577-3_7 Managing the uncertainties that arise in disasters – such as ship fire – can be extremely challenging. Previous work has typically focused either on modeling crowd behavior or hazard dynamics, targeting fully known environments. However, when a disaster strikes, uncertainty about the nature, extent and further development of the hazard is the rule rather than the exception. Additionally, crowd and hazard dynamics are both intertwined and uncertain, making evacuation planning extremely difficult. To address this chal…
BDI Modelling and Simulation of Human Behaviours in Bushfires
Each summer in Australia, bushfires burn many hectares of forest, causing deaths, injuries, and destruction of property. Emergency management strategies rely on expected citizens’ behaviour which differs from reality. In order to raise their awareness about the real population behaviour, we want to provide them with a realistic agent-based simulation. The philosophically-grounded BDI architecture provides a very suitable approach but is little used due to the lack of adapted tools. This paper uses this case study to illustrate two new tools to fill this gap: the Tactics Development Framework (TDF) and GAMA BDI architecture.
THE ROLE OF EHEALTH IN DISASTERS: A STRATEGY FOR EDUCATION, TRAINING AND INTEGRATION IN DISASTER MEDICINE
International audience; This paper describes the origins and progress of an international project to advance disaster eHealth (DEH)-the application of eHealth technologies to enhance the delivery of healthcare in disasters. The study to date has focused on two major themes; the role of DEH in facilitating inter-agency communication in disaster situations, and the fundamental need to promote awareness of DEH in the education of disaster managers and health professionals. The paper deals mainly with ongoing research on the second of these themes, surveying the current provision of disaster medicine education, the design considerations for a DEH programme for health professionals, the key curr…
Modelling PM10 Crisis Peaks Using Multi-agent Based Simulation: Application to Annaba City, North-East Algeria
The paper describes a MAS (multi-agent system) simulation approach for controlling PM10 (Particulate Matter) crisis peaks. A dispersion model is used with an Artificial Neural Network (ANN) to predict the PM10 concentration level. The dispersion and ANN models are integrated into a MAS system. PM10 source controllers are modelled as software agents. The MAS is composed of agents that cooperate with each other for reducing their emissions and control the air pollution peaks. Different control strategies are simulated and compared using data from Annaba (North-East Algeria). The simulator helps to compare and assess the efficiency of policies to control peaks in PM10.
The design of an agent based model of human activities and communications in cardiac resuscitation
International audience; Cardio-pulmonary arrest is a common emergency situation causing over 400,000 deaths per year, more than a 1000 per day, in the USA alone. The goal of this work is to develop an agent based computer simulator that will allow trainers to experiment with different communication protocols, such as those found in air traffic control. This paper describes the first step in designing the simulator development. The design is based on an analysis of communications during real life training simulations using the FIPA standard categories.
Introduction to Communication and Information Systems Technology for Crisis and Disaster Management Minitrack
International audience
Modelling the Tactical Behaviour of the Australian Population in a Bushfire
This paper is concerned with the development of an agent-based model of population behaviour during a bushfire, to form the basis of a simulator that will be used as a decision-support tool for emergency managers. To ensure the validity of the simulation results, it is essential that the model, and the underlying agent architecture, are as realistic as possible. After providing some context about recent bushfires in Victoria, Australia, we justify the need for a BDI (belief, desire, intention) agent architecture. Although some tools exist to support the integration of such agents in simulations, they are infrequently used. We therefore show how an existing methodology for modelling military…
Towards an integrated approach to emergency management: interdisciplinary challenges for research and practice
This article presents an interdisciplinary vision for large-scale integrated emergency management that has been inspired by the transition from platform centric to integrated operations in the oil and gas fields, which uses remote emergency control centres collaborating virtually with local responders. The article discusses some of the most salient research challenges for integrated emergency management, including the role of mobile technology, human-centred sensing, citizen participation and social media, and the socio-cultural determinants of disaster management. The purpose of this article is to frame an integrated emergency management approach that adopts a multi-disciplinary approach, …