We provide efficient algorithms for finding approximate BayesNash equilibria (BNE) in graphical, specifically tree, games of incomplete information. In such games an agent’s p...
Satinder P. Singh, Vishal Soni, Michael P. Wellman
This paper presents market-based macroprogramming (MBM), a new paradigm for achieving globally efficient behavior in sensor networks. Rather than programming the individual, low-...
There are a growing number of Information Communication Technology (ICT) applications in cultural heritage. However despite funding constraints, projects often involve similar or ...
This paper addresses the problem of streaming progressively compressed 3-D models over lossy networks. Out of all encoded packets that can be transmitted, we intelligently choose ...
We propose a high-level approach to software architecture that bridges the gap between system requirements (in the problem space) and the architectural design (in the solution spa...