Debarun Bhattacharjya, Balaji Ganesan, et al.
NeurIPS 2024
In domains such as homeland security, cybersecurity, and competitive marketing, it is frequently the case that analysts need to forecast actions by other intelligent agents that impact the problem of interest. Standard structured expert judgment elicitation techniques may fall short in this type of problem as they do not explicitly take into account intentionality. We present a decomposition technique based on adversarial risk analysis followed by a behavioural recomposition using discrete choice models that facilitate such elicitation process and illustrate its reasonable performance through behavioural experiments.
Debarun Bhattacharjya, Balaji Ganesan, et al.
NeurIPS 2024
Lloyd Treinish, Mukul Tewari, et al.
AGU 2024
Chulin Wang, Kyongmin Yeo, et al.
NeurIPS 2021
Abhin Shah, Maohao Shen, et al.
ISIT 2024