A Hybrid Intelligent Autonomous Model Developed Using Multi-Agent Systems
Anusua Ghosh, Andrew Nafalski, J. Tweedale · International Journal of Electronics and Electrical Engineering · 2013
Abstract—Complex problem solving and decision making requires integrating two or more intelligent techniques as no algorithm or technique are sufficient to completely solve a problem. The systems developed by integrating different hard computing and soft computing techniques to solve problem are called Hybrid Systems. This paper presents the design, development and implementation of a hybrid intelligent autonomous model. The model is developed in phases, which comprises of different individual agents. This model will be used to analyse workstress related data in real time.