Comparative performance Analysis of the Machine Intelligent Quotient (MIQ) and Human – Machine Cooperative Systems

This paper presents results of investigation into the development of a measurement of the machine intelligent quotient (MIQ) criterion. This scheme has been devised as an alternative to the traditional human to human natural way of conducting a survey type search. Information in control engineering education awareness results (data) is stored in the computer for ease of retrieval as and when necessary. A plethora of existing intelligence-based modelling and control strategies biased towards cybernetic techniques such as forecasting, prediction and training have been utilised for the purposes of identification, modelling, simulation, analysing and evaluation. A comparison of traditional search approaches and the new improved cybernetic search technique has shown that the improved technique has yielded better results. The cybernetic balance search method can be automated. Past and current data can be retrieved and future trend of data be predicted at the touch of a button, and the results have shown that, when optimally formulated, performance of the cybernetic system can be enhanced, either by explicit optimisation methods or extensive computation. This research will help researchers to asses intelligent machines that are designed to perform human-like qualities with a high degree of autonomy.