While the problem of high performance packet classification has received a great deal of attention in recent years, the research community has yet to develop algorithmic methods t...
Haoyu Song, Jonathan S. Turner, Sarang Dharmapurik...
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
We report on our ongoing practical experience in designing, implementing, and deploying PTIME, a personalized agent for time management and meeting scheduling in an open, multi-ag...
Pauline Berry, Bart Peintner, Ken Conley, Melinda ...
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...