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ABMs have also been proposed as applied educational tools for diplomats in the field of [[international relations]]<ref>{{Cite journal |last1=Butcher |first1=Charity |last2=Njonguo |first2=Edwin |date=2021-12-22 |title=Simulating Diplomacy: Learning Aid or Business as Usual? |url=|journal=Journal of Political Science Education |language=en |volume=17 |issue=sup1 |pages=185–203 |doi=10.1080/15512169.2020.1803080 |issn=1551-2169}}</ref> and for domestic and international policymakers to enhance their evaluation of [[public policy]].<ref>{{Cite journal |last1=Gilbert |first1=Nigel |last2=Ahrweiler |first2=Petra |last3=Barbrook-Johnson |first3=Pete |last4=Narasimhan |first4=Kavin Preethi |last5=Wilkinson |first5=Helen |date=2018 |title=Computational Modelling of Public Policy: Reflections on Practice |url=http://jasss.soc.surrey.ac.uk/21/1/14.html |journal=Journal of Artificial Societies and Social Simulation |language=en |volume=21 |issue=1 |doi=10.18564/jasss.3669 |issn=1460-7425|hdl=10044/1/102075 |hdl-access=free }}</ref>
ABM is also becoming increasingly popular in the field of [[Energy modeling|energy systems analysis]], particularly in the context of [[Open energy system models#Electricity sector models|electricity market modelling]]. Notable examples of such models include [[Open energy system models#AMIRIS|AMIRIS]],<ref>{{Cite journal |lastlast1=Schimeczek |firstfirst1=Christoph |last2=Nienhaus |first2=Kristina |last3=Frey |first3=Ulrich |last4=Sperber |first4=Evelyn |last5=Sarfarazi |first5=Seyedfarzad |last6=Nitsch |first6=Felix |last7=Kochems |first7=Johannes |last8=Ghazi |first8=A. Achraf El |date=2023-04-17 |title=AMIRIS: Agent-based Market model for the Investigation of Renewable and Integrated energy Systems |url=https://joss.theoj.org/papers/10.21105/joss.05041 |journal=Journal of Open Source Software |language=en |volume=8 |issue=84 |pages=5041 |doi=10.21105/joss.05041 |issn=2475-9066}}</ref> ASSUME,<ref>{{Cite journal |lastlast1=Harder |firstfirst1=Nick |last2=Qussous |first2=Ramiz |last3=Weidlich |first3=Anke |date=2023-10-01 |title=Fit for purpose: Modeling wholesale electricity markets realistically with multi-agent deep reinforcement learning |url=https://www.sciencedirect.com/science/article/pii/S2666546823000678 |journal=Energy and AI |volume=14 |pages=100295 |doi=10.1016/j.egyai.2023.100295 |issn=2666-5468|doi-access=free }}</ref> [[Open energy system models#EMLab-Generation|EMLab]],<ref>{{Cite journal |lastlast1=Jimenez |firstfirst1=I. Sanchez |last2=Ribó-Pérez |first2=D. |last3=Cvetkovic |first3=M. |last4=Kochems |first4=J. |last5=Schimeczek |first5=C. |last6=de Vries |first6=L. J. |date=2024-04-15 |title=Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models |url=https://www.sciencedirect.com/science/article/pii/S0306261924000783 |journal=Applied Energy |volume=360 |pages=122695 |doi=10.1016/j.apenergy.2024.122695 |issn=0306-2619}}</ref> and PowerACE,<ref>{{Cite web |last=Fraunholz |first=Christoph |date=2021 |title=Market Design for the Transition to Renewable Electricity Systems |url=https://publikationen.bibliothek.kit.edu/1000133282 |access-date=2024-08-13 |website=publikationen.bibliothek.kit.edu |language=de |doi=10.5445/ir/1000133282}}</ref> which facilitate the analysis of [[Electricity market|electricity markets]] in the context of the ongoing [[Energy transition|renewable energy transition]].
