Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...
The Distributed Constraint Optimization Problem (DCOP) is able to model a wide variety of distributed reasoning tasks that arise in multiagent systems. Unfortunately, existing met...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
—Reversible logic studies have promising potential on energy lossless circuit design, quantum computation, nanotechnology, etc. Reversible logic features a one-to-one input outpu...
Meeting timing constraint is one of the most important issues for modern design automation tools. This situation is exacerbated with the existence of process variation. Current hi...