This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Given a set of observed economic choices, can one infer preferences and/or utility functions for the players that are consistent with the data? Questions of this type are called r...
Hierarchical modularity is a familiar characteristic of a large class of natural dynamical systems. A normal interpretation of modularity is that interactions between subsystems a...
Abstract-- In this paper we study the computational complexity and effectiveness of a concept we term "N-hub ShortestPath Routing" in IP networks. N-hub Shortest-Path Rou...
The evolution of collaboration and communication in communities of individuals is a puzzling problem for a wide range of scientific disciplines, spanning from evolutionary theory ...