Ageev, A. I. Scenarnyy podhod v strategicheskom upravlenii municipalnym obrazovaniem [Tekst] / A. I. Ageev, Yu. S. Zayceva, K. Yu. Zendrikov // Ekonomicheskie strategii. – 2008. – № 5–6. – S. 134–141.
Bahareva, N. A. Prostranstvennaya informaciya v regionalnom i municipalnom upravlenii [Tekst] / N. A. Bahareva // Gosudarstvennyy sovetnik. – 2013. – № 4. – S. 39–42.
Bahtizin, A. R. Agent-orientirovannye modeli ekonomiki [Tekst] / A. R. Bahtizin. – M. : Ekonomika, 2008. – 279 c.
Granberg, A.G. Modelirovanie socialisticheskoy ekonomiki [Tekst] : uchebnik dlya vuzov / A. G. Granberg. – M.: Ekonomika, 1988. – 487 c.
Iskusstvennoe obschestvo i realnye demograficheskie processy [Tekst] / V. L. Makarov, A. R. Bahtizin, E. D. Sushko, A. F. Ageeva // Ekonomika i matematicheskie metody. – 2017. – № 1. – C. 3–18.
Kirienko, V. E. Vyzovy i vozmozhnosti pri sozdanii i primenenii sistem podderzhki prinyatiya resheniy [Tekst] / V. E. Kirienko // Problemy upravleniya v socialnyh sistemah. – 2013. – T. 6. – № 9. – S. 6–16.
Lychkina, N. N. Imitacionnoe modelirovanie strategicheskogo razvitiya socialno-ekonomicheskih sistem: poisk effektivnyh modelnyh konstrukciy [Tekst] / N. N. Lychkina // Trudy sedmoy Vserossiyskoy nauchno-prakticheskoy konferencii "Imitacionnoe modelirovanie. Teoriya i praktika" (IMMOD-2015), M. : 2015. – T. 2. – S. 168–173.
Makarov, V. L. Agent-orientirovannye modeli kak instrument aprobacii upravlencheskih resheniy [Tekst] / V. L. Makarov, A. R. Bahtizin, E. D. Sushko // Upravlencheskoe konsultirovanie. – 2016. – № 12. – C. 16–25.
Makarov, V. L. Kompyuternoe modelirovanie vzaimodeystviya mezhdu municipalitetami, regionami, organami gosudarstvennogo upravleniya [Tekst] / V. L. Makarov, A. R. Bahtizin, E. D. Sushko // Problemy upravleniya. – 2013. – № 6. – S. 31–40.
Makarov, V. L. Situacionnoe modelirovanie – effektivnyy instrument dlya strategicheskogo planirovaniya i upravleniya [Tekst] / V. L. Makarov, A. R. Bahtizin, E. D. Sushko // Upravlencheskoe konsultirovanie. – 2016. – № 6. – S. 26–39.
Makarov, V. L. Socialnoe modelirovanie – novyy kompyuternyy proryv (agent-orientirovannye modeli) [Tekst] / V. L. Makarov, A. R. Bahtizin. – M. : Ekonomika, 2013. – 295 c.
Marshalova, A. S. Problemy upravleniya socialno-ekonomicheskim razvitiem municipalnyh obrazovaniy [Tekst] / A. S. Marshalova, A. S. Novoselov // Region: ekonomika i sociologiya. – 2009. – № 1. – S. 167–179.
Moskalev, I. M. Servis prognozirovaniya razvitiya ekonomiko-socialnyh processov territorialnyh obrazovaniy [Tekst] / I. M. Moskalev, N. A. Begunov // Nauchnoe obozrenie: ekonomika i upravlenie. – 2012. – № 4. – S. 69–76.
Multiagentnaya imitacionnaya model municipalnogo obrazovaniya [Tekst] / Klebanov B. I., Moskalev I. M., Begunov N. A., Krickiy A. V. // Immitacionnoe modelirovanie. Teoriya i praktika (IMMOD-2007) : sbornik dokladov tretey Vserossiyskoy nauchno-prakticheskoy konferencii. T. 2. – SPb. : CNIITS, 2007. – S. 86–90.
O strategicheskom planirovanii v Rossiyskoy Federacii [Tekst] / Federalnyy zakon ot 28 iyunya 2014 g. № 172-FZ ; prinyat Gosudarstvennoy Dumoy 20 iyunya 2014 goda ; v red. federalnyh zakonov ot 23.06.2016 № 210-FZ, ot 03.07.2016 № 277-FZ.
Ob obschih principah organizacii mestnogo samoupravleniya v Rossiyskoy Federacii [Tekst] : Federalnyy zakon ot 6 oktyabrya 2003 goda № 131-FZ ; prinyat Gosudarstvennoy Dumoy 16 sentyabrya 2003 goda ; v red. po sost. na 28.12.2016 goda, s izm. i dop., vstup. v silu s 09.01.2017.
Sovershenstvovanie gosudarstvennogo i municipalnogo upravleniya v Rossiyskoy Federacii: problemy, poiski, resheniya [Tekst] / pod obsch. red. M. I. Abramovoy, A. M. Petrova. – Saratov : Saratovskiy socialno-ekonomicheskiy institut (filial) Rossiyskogo ekonomicheskogo universiteta im. G. V. Plehanova, 2016. – 162 s.
Strategicheskoe upravlenie potencialom razvitiya territorialnyh socialno-ekonomicheskih sistem: metodologicheskie podhody i instrumentalnoe obespechenie [Tekst] / monografiya ; pod obsch. red. d-ra ekon. nauk, prof. D. A. Gaynanova. – Ufa : ISEI UNC RAN, 2016. – 244 s.
Superkompyuternye tehnologii v obschestvennyh naukah: agent-orientirovannye demograficheskie modeli [Tekst] / V. L. Makarov, A. R. Bahtizin, E. D. Sushko, V. A. Vasenin, V. A. Borisov, V. A. Roganov // Vestnik RAN. – 2016. – № 5. – C. 412–421.
Suslov, V. I. Modelirovanie roli gosudarstva v prostranstvennoy agent-orientirovannoy modeli / V. I. Suslov, T. S. Novikova, A. A. Cyplakov // Ekonomika regiona. – 2016. – № 3. – C. 951–965.
Sushko, E. D. Multiagentnaya model regiona: koncepciya, konstrukciya i realizaciya [Tekst] / E. D. Sushko. – M. : CEMI RAN, 2012. – 54 s.
Fattahov, M. R. Agento-orientirovannaya model socialno-ekonomicheskogo razvitiya Moskvy / M. R. Fattahov // Ekonomika i matematicheskie metody. – 2013. – № 2. – C. 30–42.
Chekmareva, E. A. Obzor rossiyskogo i zarubezhnogo opyta agent-orientirovannogo modelirovaniya slozhnyh socialno-ekonomicheskih sistem mezourovnya / E. A. Chekmareva // Ekonomicheskie i socialnye peremeny: fakty, tendencii, prognoz. – 2016. – № 2 (44). – S. 225–246.
Shmakov, V. I. Problemy reformirovaniya i rosta effektivnosti mestnogo samoupravleniya v Rossiyskoy Federacii / V. I. Shmakov // Vestnik Moskovskogo universiteta. Seriya 21. Upravlenie (gosudarstvo i obschestvo). – 2010. – № 2. – S. 54–72
Gaffard J.-L., Napoletano M. Agent-based Models and Economic. Paris: OFCE, 2012. 448 p.
Agent-Based Models of Geographical Systems / A.J. Heppenstall et al. (eds.). Springer Science + Business Media B.V., 2012. 759 p.
Axtell R. Why Agents? On the Varied Motivations for Agent Computing in the Social Sciences: Working Paper No. 17. Brookings: Center on Social and Economic Dynamics, 2000. 23 p.
Baruffini M. Regional Labour Market Analysis and Policy Evaluation: Job Insecurity, Flexibility and Complexity. Evidence from Switzerland. PhD thesis. Lugano: Università della Svizzera italiana, 2014. 125 p.
Dawid H., Neugart M. Agent-based Models for Economic Policy Design. Eastern Economic Journal, 2011, no. 37, pp. 44–50.
Scherer S., Wimmer M., Lotzmann U., Moss S., Pinotti D. Evidence Based and Conceptual Model Driven Approach for Agent-Based Policy Modelling. Journal of Artificial Societies and Social Simulation, 2015, no. 18, iss. 3, p. 14. URL: http://jasss.soc.surrey.ac.uk/18/3/14.html
Fagiolo G., Roventini A. Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead. Journal of Artificial Societies and Social Simulation, 2017, no. 20, iss. 1, p. 1. URL: http://jasss.soc.surrey.ac.uk/20/1/1.html
Fagiolo G., Roventini A. On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms. Laboratory of Economics and Managemente (LEMB), SantAnna School of Adv Studies, Pisa, Italy, LEM Working Paper Series, February, 2008. 28 p.
Furtado B. A., Eberhard I. D. R. A simple agent-based spatial model of the economy: tools for policy. Journal of Artificial Societies and Social Simulation, 2016, no. 19, iss. 4, p. 10. URL: http://jasss.soc.surrey.ac.uk/19/4/10.html
Gilbert N. Agent-based models. Sage Publications Inc., 2008. 112 p.
Heppenstall A., Malleson N., Crooks A.T. “Space, the Final Frontier”: How Good are Agent-based Models at Simulating Individuals and Space in Cities? Systems, 2016, no. 4, iss. 1, p. 9. URL: http://www.mdpi.com/2079-8954/4/1/9/pdf
Villamor G.B., Noordwijk M. van, Troitzsch K.G., Vlek P.L.G. Human decision making for empirical agent-based models: construction and validation. Managing Resources of a Limited Planet. Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society, Leipzig: International Environmental Modelling and Software Society, 2012, pp. 2529–2536.
Kremmydas D. Agent-based modeling for agricultural policy evaluation: A review: AUA Working Paper. Series No.2012-3, Athens: Agricultural University of Athens, 2012. 19 p.
Mendritzki S. Artificial Policy: Examining the Use of Agent-Based Modeling in Policy Contexts. M.S. Thesis, Alberta: University of Calgary, 2010. 130 p.
Zhang H., Zeng Y., Bian L., Yu X. Modelling urban expansion using a multi agent-based model in the city of Changsha. Journal of Geographical Sciences, 2010, no. 20, iss. 4, pp. 540–556.
Neugart M. Labor Market Policy Evaluation with ACE. Journal of Economic Behavior and Organization, 2008, no. 67, iss. 2, pp. 418–430.
Guzy M.R., Smith C.L., Bolte J.P., Hulse D.W., Gregory S.V. Policy research using agent-based modeling to assess future impacts of urban expansion into farmlands and forests. Ecology and Society, 2008, no. 13, iss. 1, p. 37. URL: http://www.ecologyandsociety.org/vol13/iss1/art37/
Richiardi M. The Future of Agent-Based Modelling. Eastern Economic Journal, 2017, vol. 43, no. 2, pp. 271–287.
Rui Y., Ban Y. Multi-agent Simulation for Modeling Urban Sprawl In the Greater Toronto Area. Proc. of the 13th AGILE International Conference on Geographic Information Science, Guimarães (Portugal), 2010. URL: https://agile-online.org/Conference_Paper/CDs/agile_2010/ShortPapers_PDF/124_DOC.pdf
Stricker L., Baruffini M. Spatial Planning and Policy Evaluation in an Urban Conurbation: a Regional Agent-Based Economic Model. Economy of Region, 2017, no. 13, iss. 1, pp. 261–275.
Sun S., Manson S.M. Simple Agents, Emergent City: Agent-Based Modeling of Intraurban Migration. Computational Approaches for Urban Environments, Berlin: Springer, 2015, pp. 123–147.