1. Identification of the Mathematical Model of Tuberculosis and HIV Co-Infection Dynamics. (2024). Neverov, Andrei ; Kaminskiy, Grigoriy ; Semenova, Olga ; Kabanikhin, Sergey ; Krivorotko, Olga.
   In: Mathematics.
   RePEc:gam:jmathe:v:12:y:2024:i:23:p:3636-:d:1525817.

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1. Abdel-Basset, M.; Abdel-Fatah, L.; Sangaiah, A.K. Metaheuristic algorithms: A comprehensive review. In Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications; Elsevier: Amsterdam, The Netherlands, 2018; pp. 185–231. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
2. Albert, R.; Barabasi, A.L. Statistical mechanics of complex networks. Rev. Mod. Phys. 2002, 74, 47–97. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
3. Angione, C.; Silverman, E.; Yaneske, E. Using machine learning as a surrogate model for agent-based simulations. PLoS ONE 2022, 17, e0263150. [CrossRef] [PubMed]
   Paper not yet in RePEc: Add citation now
   
4. Brooks, S.P. Markov Chain Monte Carlo Method and Its Application. J. R. Stat. Soc. Ser. D Stat. 1998, 47, 69–100. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
5. Calvez, B.; Hutzler, G. Automatic tuning of agent-based models using genetic algorithms. In Proceedings of the International Workshop on Multi-Agent Systems and Agent-Based Simulation, Utrecht, The Netherlands, 25 July 2005; Springer: Berlin/Heidelberg, Germany, 2005, pp. 41–57. [CrossRef] Mathematics 2024, 12, 2208 21 of 21
   Paper not yet in RePEc: Add citation now
   
6. Carrat, F.; Vergu, E.; Ferguson, N.M.; Lemaitre, M.; Cauchemez, S.; Leach, S.; Valleron, A.J. Time Lines of Infection and Disease in Human Influenza: A Review of Volunteer Challenge Studies. Am. J. Epidemiol. 2008, 167, 775–785. [CrossRef]
   Paper not yet in RePEc: Add citation now
   

7. Carrella, E. No free lunch when estimating simulation parameters. J. Artif. Soc. Soc. Simul. 2021, 24, 7. [CrossRef]

8. Chen, S.; Desiderio, S. A regression-based calibration method for agent-based models. Comput. Econ. 2022, 59, 687–700. [CrossRef]

9. Chen, T.; Guestrin, C. XGBoost: A Scalable Tree Boosting System. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, 13–17 August 2016; KDD ’16; pp. 785–794.
   Paper not yet in RePEc: Add citation now
   

10. Dyer, J.; Cannon, P.; Farmer, J.D.; Schmon, S.M. Black-box Bayesian inference for agent-based models. J. Econ. Dyn. Control 2024, 161, 104827. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

11. Elveback, L.R.; Fox, J.P.; Ackerman, E.; Langworthy, A.; Boyd, M.; Gatewood, L. An influenza simulation model for immunization studies. Am. J. Epidemiol. 1976, 103, 152–165. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
    
12. Gandomi, A.H.; Yang, X.S.; Talatahari, S.; Alavi, A.H. Metaheuristic algorithms in modeling and optimization. Metaheuristic Appl. Struct. Infrastruct. 2013, 1, 1–24. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

13. Gilli, M.; Winker, P. A global optimization heuristic for estimating agent based models. Comput. Stat. Data Anal. 2003, 42, 299–312. [CrossRef]

14. Hare, W.; Nutini, J.; Tesfamariam, S. A survey of non-gradient optimization methods in structural engineering. Adv. Eng. Softw. 2013, 59, 19–28. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
15. Heppenstall, A.J.; Evans, A.J.; Birkin, M.H. Genetic algorithm optimisation of an agent-based model for simulating a retail market. Environ. Plan. B Urban Anal. City Sci. 2007, 34, 1051–1070. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
16. Holland, J.H. Genetic algorithms. Sci. Am. 1992, 267, 66–73. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
17. Hussain, K.; Mohd Salleh, M.N.; Cheng, S.; Shi, Y. Metaheuristic research: A comprehensive survey. Artif. Intell. Rev. 2019, 52, 2191–2233. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
18. Karpova, L.S.; Volik, K.M.; Smorodintseva, E.A.; Stolyarova, T.P.; Popovtseva, N.M.; Stolyarov, K.A. The Impact of Influenza of Different Etiologies on other ARVI in Children and Adults in 2014 to 2016. Epidemiol. Vaccinal Prev. 2018, 17, 35–47. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
19. Kennedy, J.; Eberhart, R. Particle swarm optimization. In Proceedings of the ICNN’95—International Conference on Neural Networks, Perth, Australia, 27 November–1 December 1995; Volume 4, pp. 1942–1948. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
20. Kermack, W.O.; McKendrick, A.G. A Contribution to the Mathematical Theory of Epidemics. Proc. R. Soc. Lond. Ser. A Contain. Pap. Math. Phys. Character 1927, 115, 700–721.
    Paper not yet in RePEc: Add citation now
    
21. Kotthoff, F.; Hamacher, T. Calibrating agent-based models of innovation diffusion with gradients. J. Artif. Soc. Soc. Simul. 2022, 25, 4. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

22. Lamperti, F.; Roventini, A.; Sani, A. Agent-Based Model Calibration using Machine Learning Surrogates. J. Econ. Dyn. Control 2018, 90, 366–389. [CrossRef]

23. Lessler, J.; Reich, N.G.; Brookmeyer, R.; Perl, T.M.; Nelson, K.E.; Cummings, D.A.T. Incubation periods of acute respiratory viral infections: A systematic review. Lancet Infect. Dis. 2009, 9, 291–300. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

24. Macal, C.M. Everything you need to know about agent-based modelling and simulation. J. Simul. 2016, 10, 144–156. [CrossRef]

25. Macal, C.M.; North, M.J. Tutorial on agent-based modeling and simulation. In Proceedings of the Winter Simulation Conference, Orlando, FL, USA, 4–7 December 2005; pp. 2–15. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
26. McKay, M.D.; Beckman, R.J.; Conover, W.J. Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics 1979, 21, 239–245. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
27. Merler, S.; Ajelli, M.; Fumanelli, L.; Gomes, M.F.; Piontti, A.P.; Rossi, L.; Chao, D.L.; Longini, I.M.; Halloran, M.E.; Vespignani, A. Spatio-temporal spread of the Ebola 2014 outbreak in Liberia and the effectiveness of non-pharmaceutical interventions: A computational modelling analysis. Lancet Infect. Dis. 2018, 15, 204–211. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
    

28. Mossong, J.; Hens, N.; Jit, M.; Beutels, P.; Auranen, K.; Mikolajczyk, R.; Massari, M.; Salmaso, S.; Tomba, G.S.; Wallinga, J.; et al. Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases. PLoS Med. 2008, 5, e74. [CrossRef]

29. Perumal, R.; van Zyl, T.L. Surrogate Assisted Methods for the Parameterisation of Agent-Based Models. In Proceedings of the 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), Stockholm, Sweden, 14–15 November 2020; pp. 78–82. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

30. Platt, D. A comparison of economic agent-based model calibration methods. J. Econ. Dyn. Control 2020, 113, 103859. [CrossRef]

31. Romanyukha, A.A.; Sannikova, T.E.; Drynov, I.D. The origin of acute respiratory epidemics. Her. Russ. Acad. Sci. 2011, 81, 31–34. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
    

32. Sallans, B.; Pfister, A.; Karatzoglou, A.; Dorffner, G. Simulation and Validation of an Integrated Markets Model. J. Artif. Soc. Soc. Simul. 2003, 6. Available online: https://jasss.soc.surrey.ac.uk/6/4/2.html (accessed on 12 July 2024).

33. Talatahari, S.; Azizi, M. Chaos game optimization: A novel metaheuristic algorithm. Artif. Intell. Rev. 2021, 54, 917–1004. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
34. Tan, R.K.; Bora, S. Adaptive parameter tuning for agent-based modeling and simulation. SIMULATION Trans. Soc. Model. Simul. Int. 2019, 95, 003754971984636. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
35. Vlad, A.I.; Romanyukha, A.A.; Sannikova, T.E. Circulation of Respiratory Viruses in the City: Towards an Agent-Based Ecosystem model. Bull. Math. Biol. 2023, 85, 100. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
36. Warrell, D.A.; Cox, T.M.; Firth, J.D.; Torok, E. Oxford Textbook of Medicine: Infection; Oxford University Press: Oxford, UK, 2012.
    Paper not yet in RePEc: Add citation now
    

37. Zhang, Y.; Li, Z.; Zhang, Y. Validation and calibration of an agent-based model: A surrogate approach. Discret. Dyn. Nat. Soc. 2020, 2020, 6946370. [CrossRef]

1. Studying economic complexity with agent-based models: advances, challenges and future perspectives. (2025). Chudziak, Szymon.
   In: Journal of Economic Interaction and Coordination.
   RePEc:spr:jeicoo:v:20:y:2025:i:2:d:10.1007_s11403-024-00428-w.

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2. Top-Down or Bottom-Up? Space Syntax vs. Agent-Based Modelling in Exploring Urban Complexity and Crime Dynamics. (2025). Mara, Federico ; Cutini, Valerio.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:10:p:4682-:d:1659683.

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3. Opinion dynamics meet agent-based climate economics: An integrated analysis of carbon taxation. (2025). Mellacher, Patrick ; Fierro, Luca ; Lackner, Teresa.
   In: Journal of Economic Behavior & Organization.
   RePEc:eee:jeborg:v:229:y:2025:i:c:s016726812400430x.

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4. Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation. (2024). Mellacher, Patrick ; Fierro, Luca ; Lackner, Teresa.
   In: LEM Papers Series.
   RePEc:ssa:lemwps:2024/11.

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5. Conformism, distinction and heterogeneity in an agent-based model of fads. (2024). Bargigli, Leonardo ; Pietrini, Filippo.
   In: Journal of Economic Interaction and Coordination.
   RePEc:spr:jeicoo:v:19:y:2024:i:4:d:10.1007_s11403-024-00419-x.

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6. Calibration verification for stochastic agent-based disease spread models. (2024). Safta, Cosmin ; Ray, Jaideep ; Yun, Zachary ; Gould, Aidan ; Horii, Maya ; Zohdi, Tarek.
   In: PLOS ONE.
   RePEc:plo:pone00:0315429.

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7. Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation. (2024). Mellacher, Patrick ; Fierro, Luca ; Lackner, Teresa.
   In: OSF Preprints.
   RePEc:osf:osfxxx:rdfze_v1.

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8. Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation. (2024). Mellacher, Patrick ; Fierro, Luca ; Lackner, Teresa.
   In: OSF Preprints.
   RePEc:osf:osfxxx:rdfze.

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9. Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation. (2024). Mellacher, Patrick ; Fierro, Luca ; Lackner, Teresa.
   In: Graz Economics Papers.
   RePEc:grz:wpaper:2024-07.

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10. Parameter Tuning of Agent-Based Models: Metaheuristic Algorithms. (2024). Sannikova, Tatiana E ; Vlad, Andrei I ; Romanyukha, Alexei A.
    In: Mathematics.
    RePEc:gam:jmathe:v:12:y:2024:i:14:p:2208-:d:1435221.

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11. Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates. (2024). Barde, Sylvain.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:196:y:2024:i:c:s0167947324000562.

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12. Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model. (2024). muellbauer, john ; Lafond, François ; Pangallo, Marco ; Moran, Jose ; Dyer, Joel ; Kaszowska-Mojsa, Jagoda ; Wiese, Samuel ; Farmer, Doyne J ; Calinescu, Anisoara.
    In: Papers.
    RePEc:arx:papers:2409.18760.

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13. Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model. (2024). muellbauer, john ; Lafond, François ; Moran, Jos ; Wiese, Samuel ; Calinescu, Anisoara ; Farmer, Doyne J ; Pangallo, Marco ; Kaszowska-Mojsa, Jagoda ; Dyer, Joel.
    In: INET Oxford Working Papers.
    RePEc:amz:wpaper:2024-06.

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14. An agent-based framework for the analysis of the macroeconomic effects of population aging. (2023). Desiderio, Saul ; Chen, Siyan.
    In: Journal of Evolutionary Economics.
    RePEc:spr:joevec:v:33:y:2023:i:2:d:10.1007_s00191-023-00814-w.

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15. Equation-Based Versus Agent-Based Models: Why Not Embrace Both for an Efficient Parameter Calibration?. (2023). Avegliano, Priscilla ; Sichman, Jaime Simo.
    In: Journal of Artificial Societies and Social Simulation.
    RePEc:jas:jasssj:2022-17-3.

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16. Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model. (2023). Mellacher, Patrick.
    In: Graz Economics Papers.
    RePEc:grz:wpaper:2023-04.

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17. Moment set selection for the SMM using simple machine learning. (2023). Kukacka, Jiri ; Zila, Eric.
    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:212:y:2023:i:c:p:366-391.

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18. Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates. (2022). Barde, Sylvain.
    In: Studies in Economics.
    RePEc:ukc:ukcedp:2203.

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19. Automated and distributed statistical analysis of economic agent-based models. (2022). Lamperti, Francesco ; Chiaromonte, Francesca ; Giachini, Daniele ; Vandin, Andrea.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:143:y:2022:i:c:s0165188922001634.

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20. Uncertainty is more than a number or colour: Involving experts in uncertainty assessments of yield gaps. (2022). , Rene ; Grassini, Patricio ; van Ittersum, Martin K.
    In: Agricultural Systems.
    RePEc:eee:agisys:v:195:y:2022:i:c:s0308521x2100264x.

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21. On learning agent-based models from data. (2022). Pangallo, Marco ; de Francisci, Gianmarco ; Bonchi, Francesco ; Monti, Corrado.
    In: Papers.
    RePEc:arx:papers:2205.05052.

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22. Exploration of the Parameter Space in Macroeconomic Agent-Based Models. (2022). Benzaquen, Michael ; Knicker, Max Sina ; Naumann-Woleske, Karl ; Bouchaud, Jean-Philippe.
    In: Papers.
    RePEc:arx:papers:2111.08654.

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