A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
In traditional parallel co-simulation approaches, the simulation speed is heavily limited by time synchronization overhead between simulators and idle time caused by data dependen...
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
David Pardoe, Peter Stone, Maytal Saar-Tsechansky,...
Inductive cross-talk within IC packaging is becoming a significant bottleneck in high-speed inter-chip communication. The parasitic inductance within IC packaging causes bounce o...