Publications

Authors:

Capuani, Rossana; Marigonda, Antonio

Title:

A Mean Field Model for Counter CBRN Threats

Year:

2024

Type of item:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Language:

Inglese

Format:

A Stampa

Name of journal:

LECTURE NOTES IN COMPUTER SCIENCE

ISSN of journal:

0302-9743

N° Volume:

13952

Congresso:

Large-Scale Scientific Computations

Place:

Sozopol, Bulgaria

Period:

June 5–9, 2023

:

Springer Verlag Germany

Publisher:

Springer Verlag Germany

ISBN:

9783031562075

Page numbers:

175-183

Keyword:

measurable selection; multiagent system

Short description of contents:

In this paper we propose a model to optimize the allocation of resources by a decontamination team facing a CBRN emergency. Due to the possible diffusion of the hazardous or noxious substances in the environment, the team must implement a dynamic strategy which can be seen as a coupling between the countermeasures and the concentration of the threats (which can be seen as a measure of the risk). The aim is to prove the existence of an optimal strategy, and some necessary conditions.

Product ID:

144912

Handle IRIS:

11562/1158747

Last Modified:

April 20, 2025

Bibliographic citation:

Capuani, Rossana; Marigonda, Antonio, A Mean Field Model for Counter CBRN Threats in «LECTURE NOTES IN COMPUTER SCIENCE» vol. 13952 Springer Verlag Germany  in Large-Scale Scientific Computations , Springer Verlag Germany , Proceedings of "Large-Scale Scientific Computations" , Sozopol, Bulgaria , June 5–9, 2023 , 2024 , pp. 175-183

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