scholarly journals Simulating Collective Behavior in Natural Disaster Situations: A Multi-Agent Approach

10.5772/29952 ◽  
2012 ◽  
Author(s):  
Robson dos Santos Frana ◽  
Maria das Graas B. Marietto ◽  
Margarethe Born ◽  
Nizam Omar
Keyword(s):  
Natural Disaster ◽  
Collective Behavior ◽  
Multi Agent

Study on Emergency Decision-Making of Natural Disaster Based on Collaboration of Multi-Agent

2013 ◽  
Vol 411-414 ◽  
pp. 2684-2693
Author(s):  
Yue E ◽  
Ye Ping Zhu
Keyword(s):  
Decision Making ◽  
Natural Disaster ◽  
Decision Making Process ◽  
Collaborative Decision Making ◽  
Agent Theory ◽  
Emergency Decision Making ◽  
Multi Agent ◽  
Emergency Decision ◽  
Decision Making Model ◽  
Collaborative Decision

Based on the occurrence and evolution of the natural disaster is characteristic of uncertainty and complexity, in this article, Agent theory and technology is applied to emergency decision-making of natural disaster in China, built the disaster emergency collaborative decision-making framework based on multi-agent, design the collaborative decision-making model, discuss the emergency decision-making mechanism based on scenario-response, through effective collaboration based on multi-agent, achieve natural disaster dynamic emergency decision-making process.

scholarly journals Modeling and Simulation of Synchronous Threshold in Vent Collective Behavior

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Yaofeng Zhang ◽  
Renbin Xiao
Keyword(s):  
Collective Behavior ◽  
Mean Field Theory ◽  
Mean Field ◽  
Mathematic Model ◽  
Homogeneous Group ◽  
The Social ◽  
Multi Agent ◽  
Group 3 ◽  
Global Coupling ◽  
Local Coupling

With the strengthening of the social contradiction, the outbreak of vent collective behavior tends to be frequent. The essence of vent collective behavior is emergence of synchronization. In order to explore the threshold of consensus synchronization in vent collective behavior, a mathematic model and a corresponding simulation model based on multi-agent are proposed. The results of analysis by mean field theory and simulation experiments show the following. (1) There is a thresholdKcfor consensus synchronization in global-coupling and homogeneous group, and when the system parameterKis greater thanKc, consensus synchronization emerge. Otherwise the system cannot achieve synchronization. The conclusion is verified by further study of multiagent simulation. (2) Compared with the global-coupling situation, the process of synchronization is delayed in local-coupling and homogeneous group. (3) For local-coupling and heterogeneous group, consensus dissemination can achieve synchronization only when the effects of the parameters meet the threshold requirements of consensus synchronization.

scholarly journals Multi-Agent Simulation of Collective Behavior in Human Crowds

2014 ◽  
Vol 14 (10) ◽  
pp. 4-4
Author(s):  
W. Warren ◽  
S. Bonneaud
Keyword(s):  
Collective Behavior ◽  
Agent Simulation ◽  
Multi Agent

COLLECTIVE BEHAVIOR OF INTERACTING PARTICLES: RADIUS-DEPENDENT PHASE TRANSITION

2013 ◽  
Vol 27 (04) ◽  
pp. 1350028 ◽  
Author(s):  
I. TARRAS ◽  
N. MOUSSA ◽  
M. MAZROUI ◽  
Y. BOUGHALEB ◽  
A. HAJJAJI
Keyword(s):  
Phase Transition ◽  
Collective Behavior ◽  
Collective Motion ◽  
Simulation Method ◽  
Critical Value ◽  
Original Model ◽  
Multi Agent System ◽  
Interacting Particles ◽  
Main Motivation ◽  
Multi Agent

The aim of this paper is to study and discuss the effect of three zones (repulsion zone, orientation zone and attraction zone) on the phase transition in 2D-collective moving particles. Our main motivation is to better understand the complex behavior of non-equilibrium multi-agent system by extending the earlier and original model proposed by Viscek et al. [T. Viscek et al., Phys. Rev. Lett.75 (1995) 1226] for one zone. The analysis is performed over different situations by using a numerical simulation method. It is found that the radius R2 of orientation zone plays an important role in the system. In effect, by varying the parameter R2 a phase transition can be achieved from disordered moving of individuals to a group to highly aligned collective motion. The results also show that, the critical value of R2 at which the transition emerges depends strongly on the size of the repulsion zone but not on the size of attraction one.

Sign in / Sign up

Export Citation Format

Share Document