We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
We consider the problem of Adverse Selection and optimal derivative design within a Principal-Agent framework. The principal’s income is exposed to non-hedgeable risk factors ar...
Attacker-defender Stackelberg games have become a popular game-theoretic approach for security with deployments for LAX Police, the FAMS and the TSA. Unfortunately, most of the ex...
Zhengyu Yin, Manish Jain, Milind Tambe, Fernando O...
In decision making under risk, people prefer the risk aversive choices for gains and the risk seeking choices for losses. This paper presents an analysis describing that those cho...
A simple dynamic model of agent operation of an infrastructure system is presented. This system evolves over a long time scale by a daily increase in consumer demand that raises t...
Benjamin A. Carreras, David E. Newman, Ian Dobson,...