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Also, [[Distributed artificial intelligence#Agents and Multi-agent systems|Multi-agent Systems Artificial Intelligence]] (MAAI) are used for simulating societies, the purpose thereof being helpful in the fields of climate, energy, epidemiology, conflict management, child abuse, ....<ref name="newscientist.com">[https://www.newscientist.com/article/mg24332500-800-ai-can-predict-your-future-behaviour-with-powerful-new-simulations AI can predict your future behaviour with powerful new simulations]</ref> Some organisations working on using multi-agent system models include Center for Modelling Social Systems, Centre for Research in Social Simulation, Centre for Policy Modelling, Society for Modelling and Simulation International.<ref name="newscientist.com"/> Hallerbach et al. discussed the application of agent-based approaches for the development and validation of automated driving systems via a digital twin of the vehicle-under-test and microscopic traffic simulation based on independent agents.<ref>{{cite journal |last1=Hallerbach |first1=S. |last2=Xia |first2=Y. |last3=Eberle |first3=U. |last4=Koester |first4=F. |title=Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles |journal=SAE International Journal of Connected and Automated Vehicles |volume=1 |issue=2 |page=93 |date=2018 |publisher=SAE International |doi=10.4271/2018-01-1066 |url=https://www.researchgate.net/publication/324194968}}</ref> [[Waymo]] has created a multi-agent simulation environment Carcraft to test algorithms for [[self-driving car]]s.<ref>{{cite news |last1=Madrigal |first1=Story by Alexis C. |title=Inside Waymo's Secret World for Training Self-Driving Cars |url=https://www.theatlantic.com/technology/archive/2017/08/inside-waymos-secret-testing-and-simulation-facilities/537648/ |access-date=14 August 2020 |work=The Atlantic}}</ref><ref>{{cite journal |last1=Connors |first1=J. |last2=Graham |first2=S. |last3=Mailloux |first3=L. |title=Cyber Synthetic Modeling for Vehicle-to-Vehicle Applications |journal=In International Conference on Cyber Warfare and Security |date=2018 |page=594-XI |publisher=Academic Conferences International Limited}}</ref> It simulates traffic interactions between human drivers, pedestrians and automated vehicles. People's behavior is imitated by artificial agents based on data of real human behavior.
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Measuring the intelligence of cooperative multi-agent systems with collective intelligence could allow the differentiation of the systems based on their intelligence. ExtrIntDetect<ref>{{Cite journal |last=Iantovics |first=Laszlo Barna |last2=Kountchev |first2=Roumen |last3=Crișan |first3=Gloria Cerasela |date=2019 |title=ExtrIntDetect—A New Universal Method for the Identification of Intelligent Cooperative Multiagent Systems with Extreme Intelligence |url=https://www.mdpi.com/2073-8994/11/9/1123 |journal=Symmetry |language=en |volume=11 |issue=9 |pages=1123 |doi=10.3390/sym11091123 |issn=2073-8994}}</ref> method can detect the intelligent cooperative multi-agent systems with outlier/extreme low and high intelligence from a set of studied intelligent multi-agent systems. Such cooperative multiagent systems intelligence is statistically significantly much higher or much lower than the intelligence of the other systems from the studied set.
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