Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Abstract--In this paper, we present a new immersive multiplayer game system developed for two different environments, namely, virtual reality (VR) and augmented reality (AR). To ev...
Jefry Tedjokusumo, Steven Zhi-Ying Zhou, Stefan Wi...
Computer system reliability is conventionally modeled and analyzed using techniques such as fault tree analysis (FTA) and reliability block diagrams (RBD), which provide static rep...
Ryan Robidoux, Haiping Xu, Liudong Xing, MengChu Z...
This demonstration proposal is for a distributed traffic intersection traffic-light control called GreenWave. The solution couples camera sensors with a novel collaborative multia...
Dominic A. P. Greenwood, Branislav Burdiliak, Ivan...