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Simulating Radiological Accidents through Software Agents

Authors: Tadeu Augusto de Almeida Silva; Oscar Luiz Monteiro de Farias; Neide dos Santos;

Simulating Radiological Accidents through Software Agents

Abstract

Radiological accidents can result in significant radiation exposures of workers and of the public. These accidents usually occur as a consequence of human activities in military, industry, medicine, agriculture and research, involving the use of radiation and radioactive substances that cause radiation exposure in addition to the natural exposure. The effects of radiological disasters must be promptly investigated and the assessment of doses estimated, in order to provide adequate medical treatment to the persons affected, study their impact in society, as well learning lessons for the future and prevent further accidents. In this paper we introduce the use of software multi-agents systems immersed in a geographical representation of the world, as a viable and economic option to simulate radiological accidents and assess doses. Build an environment, where the researcher can simulate a non-natural radioactive dispersion, in a delimited area, can furnish parameters for analyzing, studying and managing these dynamic systems.

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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
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