We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
Developing a large belief network, like any large system, requires systems engineering to manage the design and construction process. We propose that network engineering follow a ...
This paper investigates the architecture and design of agent-based sensor networks for petroleum offshore monitoring. A few challenges to monitor the reservoir, wellbore and wellh...
Recently, the concept of behavioral media using a mobile robot has emerged in tele-robotics, where the mobile robot behaves as a user’s second body or an agent in a remote site....
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...