A Survey on Knowledge-Driven Multi-Agent Computer Simulations for Disaster Management

2021 ◽  
Author(s):  
CHRISTOPHE CRUZ ◽  
Claire Prudhomme ◽  
Ana Roxin ◽  
Frank Boochs
Keyword(s):  
Disaster Management ◽  
Computer Simulations ◽  
Multi Agent

A MULTI-AGENT STRATEGY FOR A SIMPLE COOPERATIVE BEHAVIOR

2010 ◽  
Vol 07 (04) ◽  
pp. 331-345 ◽  
Author(s):  
SALIMA DJEBRANI ◽  
FOUDIL ABDESSEMED ◽  
ABDERRAOUF BENALI
Keyword(s):  
Computer Simulations ◽  
System Approach ◽  
Cooperative Behavior ◽  
Mobile Manipulators ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Main Components ◽  
Negotiation Protocols

This paper presents an application of the multi-agent system approach to mobile manipulators that cooperate to achieve displacement of heavy and large objects. Therefore, the task is distributed between agents, and each agent offers and negotiates its services that help in accomplishing the mission. The multi-agent system has been developed using the oRis platform. The main components of such a system include communication and negotiation protocols. Hence we present the behavior of robots, their interaction, and their behavior toward obstacles. Computer simulations are conducted in order to demonstrate the feasibility of the proposed approach.

Exploring Cloud-Based Distributed Disaster Management With Dynamic Multi-Agents Workflow System

2018 ◽  
pp. 167-195
Author(s):  
Mansura Habiba ◽  
Shamim Akhter
Keyword(s):  
Disaster Management ◽  
System Architecture ◽  
Dropout Rate ◽  
Adaptive Scheduling ◽  
Workflow Model ◽  
Workflow System ◽  
Disaster Situation ◽  
Multi Agent ◽  
Distributed Cloud ◽  
Dynamically Configurable

Natural disaster is one of the important topics in current researches. Disaster Management System (DMS) is a complex system and needs to perform a collection of tasks collaboratively along with the potentiality to change the configurations of the system dynamically. In the research era of workflow model, existing models mainly deal with temporal and static constrains. However they cannot be used to keep pace with an uncertainly dynamic system like disaster management. Considering all these significant DMS attributes we have designed a new dynamically configurable and changeable workflow model with the support of adaptive scheduling, for both successful and failed situations, and implemented in a distributed cloud system to maintain the rescue and reorganization activities of disaster situation. In order to simplify the system architecture, we have used Multi Agent System (MAS) for our design. The proposed system achieves a comparatively higher rate of successful job completion-higher rescheduling success rate and comparatively lower dropout rate.

On the Number of Informed Agents and Their Initial Positions in a Free Flocking

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
Ali Reza Paygani ◽  
Mohammad Haeri
Keyword(s):  
Computer Simulations ◽  
Collective Behavior ◽  
Initial Position ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Points Of View

In a multi-agent system, the number and initial position of informed agents play a major role in the convergence of uninformed agents. In this paper, three different patterns of informed agents' initial positions are studied to see how the convergence percentage can be affected by the number of informed agents. The proposed initial locations are intuitive and inferred from the collective behavior in humans. To evaluate efficiency of the proposed methods and to compare them from different points of view, large number of computer simulations is performed and results are analyzed.

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