Artificial intelligence (AI) is starting to pervade the economic and social life. This renders
strategic interactions between humans and artificial agents more and more common. At the …

Groups of humans are often able to find ways to cooperate with one another in complex,
temporally extended social dilemmas. Models based on behavioral economics are only able …

Take-it or leave-it offers are probably as old as mankind. Our objective here is, first, to
provide a, probably subjectively colored, recollection of the initial ultimatum game …

We study risk taking on behalf of others, both when choices involve losses and when they do
not. A large-scale incentivized experiment with subjects randomly drawn from the Danish …

Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …

Emerging smart grid technologies and increased penetration of renewable energy sources
(RESs) direct the power sector to focus on RESs as an alternative to meet both baseload …

We investigate a supply chain composed of a retailer who designs a contract with wholesale
price and order quantity, and a supplier who has private information of low or high unit …

We introduce intention-based social preferences into mechanism design. We explore
information structures that differ with respect to what is commonly known about the weight …

In dyadic ultimatum bargaining proposers, who are privately informed about the pie size, can
exploit their “moral wiggle room” by engaging in unfairness which is unobservable by …

In a laboratory experiment with 754 participants, we study the canonical one-shot moral
hazard problem, comparing treatments with unobservable effort to benchmark treatments …