Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://www.intechop...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://www.intechopen.com/cit...
Part of book or chapter of book
License: CC BY
Data sources: UnpayWall
https://doi.org/10.5772/29952...
Part of book or chapter of book . 2012 . Peer-reviewed
Data sources: Crossref
versions View all 1 versions
addClaim

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

Authors: Robson dos Santos Frana; Maria das Graas B. Marietto; Margarethe Born; Nizam Omar;

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

Abstract

The usage of simulations has been improved for quite some time. From mechanical artifacts that attempt to mimic a certain dynamic event using known physical properties up to complete representations of virtual worlds based on real life events which were augmented by concepts in order to prove a theory or to test a specific scenario. The key words here are “modeling”, “constructing a simulacrum”, “experimentation” and “evaluation”. Simulations allow any researcher to explore, try out new ideas, check some theories in a controlled environment before testing in real life, and so forth. Psychology deals with individuals, Sociology with the study of human groups and the formation of institutions, both, individually, were not enough to study the humanSs social behavior. All human sciences tried to create theories about reality, searching for well-defined and established patterns. The non-conformity with such patterns is considered a mistake, or even a wrongdoing. Taking a whole new approach, the field of Collective Behavior deals with human groups and collectivities that contradict or reinterpret societySs norms and standards. Crowd behavior has been studied by many researchers. Theoretical models have been established to understand them. This chapter will present a simulation model for panic in crowds phenomena based on the symbolic interactionism approach. Section 2 will present a review of the main concepts of Sociology and Collective behavior and establish a framework to be used in the model of crowd to be simulated. Section 3 will present a computation model and a simulation model of panic in crowd phenomenon, both in its theoretical aspects and its practical issues. The collective behavior studied in the previous section will be used as basis for the simulation model. Also, the main concepts regarding multi-agent based simulations will be presented. The model simulated have been applied to a fire incident and validated. Section 4 presents a generalization of the model proposed and delineates a future application for other kind of disasters as earthquakes. Section 5 shows some conclusions about the study here presented. 20

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid