Robustness for Adversarial Risk Analysis

David Ríos Insua (), Fabrizio Ruggeri (), Cesar Alfaro () and Javier Gomez ()
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David Ríos Insua: Consejo Superior de Investigaciones Científicas
Fabrizio Ruggeri: Istituto di Matematica Applicata e Tecnologie Informatiche
Cesar Alfaro: Rey Juan Carlos University
Javier Gomez: Rey Juan Carlos University

Chapter Chapter 3 in Robustness Analysis in Decision Aiding, Optimization, and Analytics, 2016, pp 39-58 from Springer

Abstract: 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.

Keywords: Utility Function; Nash Equilibrium; Expected Utility; Robust Analysis; Expected Utility Maximizer (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-33121-8_3

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DOI: 10.1007/978-3-319-33121-8_3

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