We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
In this paper, a multimodal unit detection framework to detect and extract units, a novel concept towards event detection and extraction in sports TV broadcasts, is proposed. The ...
In this paper, we present some of our ongoing experimental research towards investigating advantages of modeling other agents in multiagent environments. We attempt to quantify the...
We quantify the effect of Bayesian ignorance by comparing the social cost obtained in a Bayesian game by agents with local views to the expected social cost of agents having glob...
Noga Alon, Yuval Emek, Michal Feldman, Moshe Tenne...
Abstract. Participants in e-commerce and other forms of online collaborations tend to be selfish and rational, and therefore game theory has been recognized as particularly relevan...
Mikhail J. Atallah, Marina Blanton, Keith B. Frikk...