=== Universal Turing test inspired black-box-based machine intelligence metrics ===
Based on the large diversity of intelligent systems, the Turing test inspired universal metrics should be used, which isare able to measure the machine intelligence and compare the systems based on their intelligence. A property of an intelligence metric should be the treating of the aspect of variability in intelligence. Black-box-based intelligence metrics, like the MetrIntPair<ref>{{Cite journal|last=Iantovics|first=Laszlo Barna|last2=Rotar|first2=Corina|last3=Niazi|first3=Muaz A.|date=2018|title=MetrIntPair—A Novel Accurate Metric for the Comparison of Two Cooperative Multiagent Systems Intelligence Based on Paired Intelligence Measurements|url=https://onlinelibrary.wiley.com/doi/abs/10.1002/int.21903|journal=International Journal of Intelligent Systems|language=en|volume=33|issue=3|pages=463–486|doi=10.1002/int.21903|issn=1098-111X}}</ref> and MetrIntPairII <ref>{{Cite journal|last=Iantovics|first=László Barna|date=2021|title=Black-Box-Based Mathematical Modelling of Machine Intelligence Measuring|url=https://www.mdpi.com/2227-7390/9/6/681|journal=Mathematics|language=en|volume=9|issue=6|pages=681|doi=10.3390/math9060681}}</ref>, are universal since they do not depend on the architecture of the systems whose intelligence they measure. MetrIntPair is an accurate metric that can simultaneously measure and compare the intelligence of two systems. MetrIntPairII is an accurate and robust metric that can simultaneously measure and compare the intelligence of any number of intelligent systems. Both metrics use specific pairwise based intelligence measurements and can classify the studied systems in intelligence classes.
