We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
Bin Yu, Paul Scerri, Katia P. Sycara, Yang Xu, Mic...
Abstract. We propose a new operational model for shared variable concurrency, in the context of a concurrent, higher-order imperative language `a la ML. In our model the scheduling...
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
Revelation policies in an e-marketplace differ in terms of the level of competitive information disseminated to participating sellers. Since sellers who repeatedly compete against...
Amy R. Greenwald, Karthik Kannan, Ramayya Krishnan