Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Abstract. Multi-Agent Systems (MAS) architectures are gaining popularity over traditional ones for building open, distributed or evolving software. To formally define system archit...
Kinesthetic feedback is a key mechanism by which people perceive object properties during their daily tasks – particularly inertial properties. For example, transporting a glass...
Phase change memory (PCM) is an emerging memory technology for future computing systems. Compared to other non-volatile memory alternatives, PCM is more matured to production, and...
Self-adjusting computation provides an evaluation model where computations can respond automatically to modifications to their data by using a mechanism for propagating modifica...
Umut A. Acar, Guy E. Blelloch, Ruy Ley-Wild, Kanat...