The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo investiga o processo autônomo de tomada de decisão na seleção de contramedidas alternativas contra ameaças em ambientes de guerra eletrônica. Introduzimos um modelo de ameaça, que representa um padrão de ameaça específico, e uma metodologia que decide a melhor contramedida contra ameaças em tempo real usando a teoria da decisão. Para determinar a contramedida ideal, modelamos as probabilidades dos efeitos das contramedidas, se executadas, e combinamos as probabilidades com suas utilidades. Esta metodologia baseada no modelo indutivo de ameaças calcula as utilidades esperadas das contramedidas que são aplicáveis a uma determinada situação e fornece um agente inteligente de comando e controle com a melhor contramedida às ameaças. Apresentamos resultados empíricos que demonstram a capacidade do agente de escolher contramedidas para ameaças em ambientes simulados de guerra eletrônica.
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So Ryoung PARK, Sanguk NOH, "Optimal Decision-Making of Countermeasures by Estimating Their Expected Utilities" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 3, pp. 560-568, March 2010, doi: 10.1587/transinf.E93.D.560.
Abstract: This paper investigates the autonomous decision-making process of the selection of alternative countermeasures against threats in electronic warfare settings. We introduce a threat model, which represents a specific threat pattern, and a methodology that decides the best countermeasure against real-time threats using the decision theory. To determine the optimal countermeasure, we model the probabilities of the effects of countermeasures, if executed, and combine the probabilities with their utilities. This methodology based upon the inductive threat model calculates the expected utilities of countermeasures which are applicable given a situation, and provide an intelligent command and control agent with the best countermeasure to threats. We present empirical results that demonstrate the agent's capabilities of choosing countermeasures to threats in simulated electronic warfare settings.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.560/_p
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@ARTICLE{e93-d_3_560,
author={So Ryoung PARK, Sanguk NOH, },
journal={IEICE TRANSACTIONS on Information},
title={Optimal Decision-Making of Countermeasures by Estimating Their Expected Utilities},
year={2010},
volume={E93-D},
number={3},
pages={560-568},
abstract={This paper investigates the autonomous decision-making process of the selection of alternative countermeasures against threats in electronic warfare settings. We introduce a threat model, which represents a specific threat pattern, and a methodology that decides the best countermeasure against real-time threats using the decision theory. To determine the optimal countermeasure, we model the probabilities of the effects of countermeasures, if executed, and combine the probabilities with their utilities. This methodology based upon the inductive threat model calculates the expected utilities of countermeasures which are applicable given a situation, and provide an intelligent command and control agent with the best countermeasure to threats. We present empirical results that demonstrate the agent's capabilities of choosing countermeasures to threats in simulated electronic warfare settings.},
keywords={},
doi={10.1587/transinf.E93.D.560},
ISSN={1745-1361},
month={March},}
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TY - JOUR
TI - Optimal Decision-Making of Countermeasures by Estimating Their Expected Utilities
T2 - IEICE TRANSACTIONS on Information
SP - 560
EP - 568
AU - So Ryoung PARK
AU - Sanguk NOH
PY - 2010
DO - 10.1587/transinf.E93.D.560
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2010
AB - This paper investigates the autonomous decision-making process of the selection of alternative countermeasures against threats in electronic warfare settings. We introduce a threat model, which represents a specific threat pattern, and a methodology that decides the best countermeasure against real-time threats using the decision theory. To determine the optimal countermeasure, we model the probabilities of the effects of countermeasures, if executed, and combine the probabilities with their utilities. This methodology based upon the inductive threat model calculates the expected utilities of countermeasures which are applicable given a situation, and provide an intelligent command and control agent with the best countermeasure to threats. We present empirical results that demonstrate the agent's capabilities of choosing countermeasures to threats in simulated electronic warfare settings.
ER -