We study the convergence times of dynamics in games involving graphical relationships of players. Our model of local interaction games generalizes a variety of recently studied ga...
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
As wireless networks increase in popularity, the development of efficient content distribution techniques to meet the growing and constantly changing client demand becomes a necess...
Suitability of the next generation of high-performance computing systems for petascale simulations will depend on a balance between factors such as processor performance, memory p...
Subhash Saini, Dennis C. Jespersen, Dale Talcott, ...
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....