Interactive Learning of Expert Criteria for Rescue Simulations

Chu, Thanh-Quang; Boucher, Alain; Drogoul, Alexis; Vo, Duc-An; Nguyen, Hong-Phuong; Zucker, Jean-Daniel

doi:10.1007/978-3-540-89674-6_16

Cited by 15 publications

(23 citation statements)

References 5 publications

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“…In 2007, a collaboration between French and Vietnamese universities resulted in an ABS called GAMA (GIS and Agent-based Modelling Architecture) [Amouroux et al 2009] being developed. The following year the AROUND (Autonomous Robots for Observation of Urban Network after Disasters) project became one of its first applications [Chu et al 2008], with an earthquake hitting Hanoi being the test scenario. The goal of the AROUND project is to capture mathematically agent behaviour which is consistent with the objectives of emergency responders.…”

Section: Abs For Large-scale Emergency Responsementioning

confidence: 99%

“…For example, GAMA Amouroux et al 2009], the ABS which the AROUND project uses, is built using Repast. After preparation in ArcGIS [ArcGIS 2010], four shapefiles [ESRI 1998] (a vector GIS file format) representing roads, hospitals, police-barracks and agents, are used to model the Ba-Dinh district in Hanoi [Chu et al 2008;Chu et al 2009], an area approximately 10 km 2 in size. The road layer is used to construct a graph, along which the agents move.…”

Section: Environment Implementationsmentioning

confidence: 99%

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Agent-based simulation for large-scale emergency response

et al. 2012

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. When attempting to determine how to respond optimally to a large-scale emergency, the ability to predict the consequences of certain courses of action in silico is of great utility. Agent-based simulations (ABSs) have become the de facto tool for this purpose, however they may be used and implemented in a variety of ways. This paper reviews existing implementations of ABSs for largescale emergency response, and presents a taxonomy classifying them by usage. Opportunities for improving ABS for large-scale emergency response are identified.

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Section: Abs For Large-scale Emergency Responsementioning

confidence: 99%

Section: Environment Implementationsmentioning

confidence: 99%

Agent-based simulation for large-scale emergency response

et al. 2012

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“…This work allows to describe the collaboration of a multidisciplinary simulation project: the rescue simulations of T.Q.Chu et al [8,7] .…”

Section: Case Study: Open Rescuementioning

confidence: 99%

“…Chu et al [8,7] (see the example in section 2.1) has developed a model: the Open Rescue model. This model has a triple objectives: (i) observing the behavior of emergency responders; (ii) training practitioners (e.g.…”

Section: The Open Rescue Modelmentioning

confidence: 99%

“…Chu et al [8,7] that addresses the vital problem of resource allocation for disaster response activities. It has been developed to support a spatial decision support system (SDSS) that has a triple objectives : (i) training people in preparedness phase; (ii) supporting people in response phase; and (iii) acquiring knowledge of people to improving system.…”

Section: The Aim Of Collaboration In the Simulationmentioning

confidence: 99%

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New protocol supporting collaborative simulation

Nguyen-Trong

Marilleau

Ho³

et al. 2011

Proceedings of the Second Symposium on Information and Communication Technology - SoICT '11

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Major researches in the domain of complex systems are interdisciplinary, collaborative and geographically distributed. The purpose of our work is to explore a new methodology that facilitates scientist's interactions during the simulation process. Through the analysis of the collaboration and pluridisciplinary in a simulation project, we have identified the needs of a common representation about models and simulators. Then, we provide an extension of ODD protocol including new features dedicated to collaboration design. This new protocol associated with identified tools tackle an interesting way for defining exchanges in simulation.

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Designing Agent Behaviour in Agent-Based Simulation through Participatory Method

Taillandier

Buard

2009

Principles of Practice in Multi-Agent Systems

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Interactive Learning of Expert Criteria for Rescue Simulations

Cited by 15 publications

References 5 publications

Agent-based simulation for large-scale emergency response

Agent-based simulation for large-scale emergency response

New protocol supporting collaborative simulation

Designing Agent Behaviour in Agent-Based Simulation through Participatory Method

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