This paper describes a novel approach for managing service-centric communications networks called distributed autonomic management (DAM). Current approaches to network management ...
Abstract. Constraint Satisfaction has been widely used to model static combinatorial problems. However, many AI problems are dynamic and take place in a distributed environment, i....
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Traffic congestion has become a major concern for many cities throughout the world. Simulations provide useful tools for engineer to plan traffic systems and government to make de...