Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

Liberalization of the energy system sets the way towards market-based solutions for
ancillary service provision. Local reactive power markets are envisioned to achieve more …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are
not yet widely adopted in economic policy design, mechanism design, or economics at …

Tackling real-world socio-economic challenges requires designing and testing economic
policies. However, this is hard in practice, due to a lack of appropriate (micro-level) …

Designing an incentive compatible auction that maximizes expected revenue is an intricate
task. The single-item case was resolved in a seminal piece of work by Myerson in 1981 …

The explosive growth of Web-based social applications over the last 10 years has led
people to engage in online communities for various purposes: to work, learn, play, share …

Automated auction design aims to find empirically high-revenue mechanisms through
machine learning. Existing works on multi item auction scenarios can be roughly divided into …

Issues in Multiagent Resource Allocation Yann Chevaleyre, Paul E. Dunne, Ulle Endriss,
Jerome Lang, Michel Lemaitre, Nicolas Maudet, Julian Padget, Steve Phelps, Juan A …

A principal wishes to screen an agent along several dimensions of private information
simultaneously. The agent has quasilinear preferences that are additively separable across …