During the last decade, the study of large scale complex networks has attracted a substantial amount of attention and works from several domains: sociology, biology, computer scie...
Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jea...
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
The human behavior modeling community has traditionally been divided into those addressing individual behavior models, and those addressing organizational and team models. And yet...
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Group communication primitives have broad utility as building blocks for distributed applications. The challenge is to create and maintain the distributed structures that support ...
Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster, A...