Year: 2024
Type: preprint
Abstract: In domains such as homeland security, cybersecurity and competitive marketing, it is frequently the case that analysts need to forecast adversarial actions that impact the problem of interest. Standard structured expert judgement elicitation techniques may fall short as they do not explicitly take into account intentionality. We present a decomposition technique based on adversarial risk analysis followed by a behavioral recomposition using discrete choice models that facilitate such elicitation process and illustrate its performance through behavioral experiments.
Source: arXiv (Cornell University)
Authors: Gomez, Yolanda, Rios, Jesus, Insua, David Rios, Vila, Jose
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funders: National Science Foundation, Fundación BBVA, Instituto de Ciencias Matemáticas, Generalitat Valenciana, Banco Bilbao Vizcaya Argentaria, Agencia Estatal de Investigación, Division of Mathematical Sciences, Air Force Office of Scientific Research, FP7 Science in Society, European Office of Aerospace Research and Development
OpenAlex ID: W4391631545