— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Abstract: This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where...
Embedded systems have become common place in industry and domestic electronics, resulting in the need for educational institutions to teach advanced embedded systems design. Exper...
Michael Callaghan, Jim Harkin, Chris Peters, T. Ma...
In this paper, we present the evacuation simulation system that is the combination of a virtual city and a crisis management simulation. The system allows users to become virtual e...