Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
The DNS root nameservers routinely use anycast in order to improve their service to clients and increase their resilience against various types of failures. We study DNS traffic co...
For modern embedded systems, the complexity of embedded applications has reached a point where the performance requirements of these applications can no longer be supported by emb...
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...