MetrIntPair-A Novel Accurate Metric for the Comparison of Two Cooperative Multiagent Systems Intelligence Based on Paired Intelligence Measurements

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.