Premium
MetrIntPair —A Novel Accurate Metric for the Comparison of Two Cooperative Multiagent Systems Intelligence Based on Paired Intelligence Measurements
Author(s) -
Iantovics Laszlo Barna,
Rotar Corina,
Niazi Muaz A.
Publication year - 2018
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21903
Subject(s) - metric (unit) , multi agent system , pairwise comparison , class (philosophy) , computer science , artificial intelligence , computational intelligence , outlier , benchmark (surveying) , machine learning , engineering , operations management , geodesy , geography
In this paper, we propose a novel metric called MetrIntPair ( Metric for Pairwise Intelligence Comparison of Agent‐Based Systems ) for comparison of two cooperative multiagent systems problem‐solving intelligence. MetrIntPair is able to make an accurate comparison by taking into consideration the variability in intelligence in problem‐solving. The metric could treat the outlier intelligence indicators, intelligence measures that are statistically different from those others. For evaluation of the proposed metric, we realized a case study for two cooperative multiagent systems applied for solving a class of NP‐hard problems. The results of the case study proved that the small difference in the measured intelligence of the multiagent systems is the consequence of the variability. There is no statistical difference between the intelligence quotients/level of the multiagent systems. Both multiagent systems should be classified in the same intelligence class.