Adversarial risk analysis for bi-agent influence diagrams: An algorithmic approach
Jorge González-Ortega,
David Ríos Insua and
Javier Cano
European Journal of Operational Research, 2019, vol. 273, issue 3, 1085-1096
Abstract:
We describe how to support a decision maker who faces an adversary. To that end, we consider general interactions entailing sequences of both agents’ decisions, some of them possibly being simultaneous or repeated across time. We model their joint problem as a bi-agent influence diagram. Unlike previous solutions framed under a standard game-theoretic perspective, we provide a decision-analytic methodology to support the decision maker based on an adversarial risk analysis paradigm. This allows the avoidance of non-realistic strong common knowledge assumptions typical of non-cooperative game theory as well as a better apportion of uncertainty sources. We illustrate the methodology with a schematic critical infrastructure protection problem.
Keywords: Decision analysis; Bi-agent influence diagram; Strategic relevance; Security; Critical infrastructure protection (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221718307756
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:273:y:2019:i:3:p:1085-1096
DOI: 10.1016/j.ejor.2018.09.015
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().