The relationship between financial incentives and performance, long of interest to social scientists, has gained new relevance with the advent of web-based “crowd-sourcing” mo...
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ...
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
Multi-agent resource allocation is a growing area of research at the frontier between Economics and Computer Science. Despite the extensive theoretical work and raising number of ...
In a team competition, two participating teams have an equal number of players, and each team orders its players linearly based on their strengths. A mechanism then specifies how...