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Robustness for adversarial risk analysis

Chapter
Publication Date:
2016
abstract:
Adversarial Risk Analysis is an emergent paradigm for supporting a decision maker who faces adversaries in problems in which the consequences are random and depend on the actions of all participating agents. In this chapter, we outline a framework for robust analysis methods in Adversarial Risk Analysis. Our discussion focuses on security applications.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Robustness; Adversarial Risk Analysis
List of contributors:
Ruggeri, Fabrizio
Handle:
https://iris.cnr.it/handle/20.500.14243/328043
Book title:
Robustness Analysis in Decision Aiding, Optimization, and Analytics
  • Overview

Overview

URL

https://www.springer.com/gp/book/9783319331195
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