Aagaard, P., (2012). "The challenge of adaptive capability in public organizations: A case study of complexity in crime prevention", Public Manag. Rev., Vol. 14, pp. 731–746.
Adedirana, T.V., Al-Bazia, A., and L.E., dos Santosb, (2019). "Agent-based modelling and heuristic approach for solving complex OEM flow-shop productions under customer disruptions", Computers & Industrial Engineering, Vol. 133, pp. 29–41.
Akopov, A.S., Beklaryan, L.A., and A.K., Saghatelyan, (2019). "Agent-based modelling of interactions between air pollutants and greenery using a case study of Yerevan, Armenia", Environmental Modelling and Software. Vol. 116, pp. 7–25.
Allen, P., Datta, P.P., and M., Christopher, (2006). "Improving the resilience and performance of organizations using multi-agent modeling of a complex production - distribution systems", Risk Management, Vol. 8, pp. 294–309.
Alrabghi, A., and A., Tiwari, (2015). "State of the art in simulation-based optimization for maintenance systems", Computer & Industrial Engineering, Vol. 82, pp. 167-182.
Anderson, A., Dodd, S.D., and S., Jack, (2012). "Entrepreneurship as connecting: Some implications for theorising and practice", Manag. Decis, Vol. 50, pp. 958–971.
Antonacopoulou, E., and R., Chiva, (2007). "The social complexity of organizational learning: The dynamics of learning and organizing", Manag. Learn, Vol. 38, pp. 277–295.
Aragao Jr., D.P., Novaes, A.G.N., and M.M.M., Luna, (2019). "An agent-based approach to evaluate collaborative strategies in milk-run OEM operations", Computers & Industrial Engineering, Vol. 129, pp. 545-555.
Ardavan, A., and A., Alem Tabriz, (2016). "Towards sustainable growth of enterprises: a supply chain design", Journal of Industrial Engineering and Management Studies, Vol. 3, No. 2, pp. 33-57.
Aritua, B., Smith, N., and D., Bower, (2009). "Construction Client multi-projects—A complex adaptive systems perspective", Int. J. Proj. Manag., Vol. 27, pp. 72–79.
Badham, J., Chattoe-Brown, E., Gilbert, N., Chalabi, Z., Kee, F., and R.F., Hunter, (2018). "Developing agent-based models of complex health behavior", Health and Place, Vol. 54, pp. 170–177.
Banitz, T., Gras, A., and M., Ginovart, (2015). "Individual-based modeling of soil organic matter in NetLogo: Transparent, user-friendly, and open", Environmental Modelling & Software, Vol. 71, pp. 39-45.
Barbuto, A., Lopolito, A., and F.G. Santeramo, (2019). "Improving diffusion in agriculture: an agent-based model to find the predictors for efficient early adopters", Agricultural and Food Economics, 7:1.
Behdani, B., Lukszo, Z., and R., Srinivasan, (2018). "Agent-oriented simulation framework for handling disruptions in chemical supply chains", Computers and Chemical Engineering, Vol. 122, pp. 306-325.
Bishop, R.C., and H., Atmanspacher, (2006). "Contextual Emergence in the Description of Properties", Found Phys, Vol. 36, pp. 1753–1777. https://doi.org/10.1007/s10701-006-9082-8.
Blok, A.N., Sharpanskykh, A., and M., Vert, (2018). "Formal and computational modeling of anticipation mechanisms of resilience in the complex sociotechnical air transport system", Complex Adapt Syst Model, 6:7.
Bode, C., and S.M., Wagner, (2015). "Structural Drivers of upstream supply chain complexity and the frequency of supply chain disruptions", J. Oper. Manag, Vol. 36, pp. 215–228.
Bovaird, T., (2008). "Emergent strategic management and planning mechanisms in complex adaptive systems—The case of the UK best value initiative", Public Manag, Vol. 10, pp. 319–340.
Butterfield, J., (2011). "Emergence, Reduction and Supervenience: A Varied Landscape", Article in Foundations of Physics, https://www.researchgate.net/publication/51909956.
Callender, A.K., (2007). "The Mechanistic/Vitalistic Dualism of Chiropractic and General Systems Theory: Daniel D. Palmer and Ludwig von Bertalanffy", Journal of Chiropractic Humanities, Vol. 14, pp. 1-21.
Carillo, M., Cordasco, G., Serrapica, F., Scarano, V., Spagnuolo, C., and P., Szufel, (2017). "Distributed simulation optimization and parameter exploration framework for the cloud", Simulation Modelling Practice and Theory, Vol. 83, pp. 108-123.
Castilla-Rho, J.C., Mariethoz, G., Rojas, R., Andersen, M.S., and B.F.J., Kelly, (2015). "An agent-based platform for simulating complex human-aquifer interactions in managed groundwater systems", Environmental Modelling & Software, Vol. 73, pp. 305-323.
Chang, S., Yang, W., and H., Deguchi, (2020). "Care providers, access to care, and the Long-term Care Nursing Insurance in China: An agent-based simulation", Social Science & Medicine, Vol. 244, p. 112667.
Chatfield, D.C., Hayya, J.C., and T.P., Harrison, (2007). "A multi-formalism architecture for agent-based, order-centric supply chain simulation", Simulation Modeling Practice and Theory, Vol. 15, pp. 153–174.
Chen, X., Ong, Y., Tan, P.S., Zhang, N., and Z., Li, (2013). "Agent-Based Modeling and Simulation for Supply Chain Risk Management – A Survey of the State-of-the art", 2013 IEEE International Conference on Systems, Man, and Cybernetics.
Chibbaro S., Rondoni L., and A., Vulpiani, (2014). "Reductionism, Emergence and Levels of Reality: The Importance of Being Borderline", Springer, ISBN 978-3-319-06360-7.
Choi, T., Dooley, K.J., and M., Rungtusanatham, (2001). "Supply networks and complex adaptive systems: control versus emergence", Journal of Operations Management, Vol. 19, No. 3, pp. 351-366.
Christos, K., Dimitrios, B., and A., Dimitrios, (2016). "Agent-Based Simulation for Modeling Supply Chains: A Comparative Case Study", International Journal of New Technology and Research (IJNTR), Vol. 2, No. 10, pp. 36-39.
Clayton, P. (2004). Mind & Emergence: From Quantum to Consciousness, Oxford University Press, ISBN 0–19–927252–2.
Cuevas, E. (2020). "An agent-based model to evaluate the COVID-19 transmission risks in facilities", Computers in biology and medicine, Vol. 121, p. 103827.
Damaceanu, R.C., (2008). "An agent-based computational study of wealth distribution in function of resource growth interval using NetLogo", Applied Mathematics and Computation, Vol. 201, pp. 371–377.
Darbandsari, P., Kerachian, R., and S., Malakpour-Estalaki, (2017). "An Agent-based behavioral simulation model for residential water demand management: The case-study of Tehran, Iran", Simulation Modelling Practice and Theory, Vol. 78, pp. 51–72.
Davidson, D., (1970). "Mental Events, in Essays on Actions and Events", Oxford: Clarendon Press, pp. 207-227.
Davis, A.P., Dent, E., and D., Wharff, (2015). "A conceptual model of systems thinking leadership in community colleges", Syst. Pract. Act. Res., 28, 333–353.
Davoodi, S.M.R, and A. Goli, (2019). "An integrated disaster relief model based on covering tour using hybrid Benders decomposition and variable neighborhood search: Application in the Iranian context", Computers & Industrial Engineering, Vol. 130, pp. 370-380,
Davydenko, I.Y., and R.W., Fransen, (2019). "Conceptual Agent Based Model Simulation for the Port Nautical Services", IFAC PapersOnLine, Vol. 52, No. 3, pp. 19–24.
de Marchi S., and S.E., Page, (2009). "Agent-based modeling", In Oxford Handbook of Political Science Methodology, ed. JM Box-Steffensmeier, HE Brady, D Collier, New York: Cambridge Univ. Press, pp. 71–96.
de Marchi, S., and S.E., Page, (2014). "Agent based models", The Annual Review of Political Science is online at polisci.annualreviews.org. doi: 10.1146/annurev-polisci-080812-191558.
Delcea, C., and L.A., Cotfas, (2019). "Increasing awareness in classroom evacuation situations using agent-based modeling", Physica A, Vol. 523, pp. 1400–1418.
Delcea, C., Cotfas, L.A., Craciun, L., and A.G., Molanescu, (2020). "An agent-based modeling approach to collaborative classrooms evacuation process", Safety Science, Vol. 121, pp. 414–429.
Ding, Z., Hu, T., Li, M., Xu, X., and P.X.W., Zou, (2019). "Agent-based model for simulating building energy management in student residences", Energy & Buildings, Vol. 198, pp. 11–27.
Doran, J., (2005). "Iruba: An Agent-Based Model of the Guerrilla War Process, In Representing Social Reality", pre-proceedings of the Third Conference of the European Social Simulation Association (ESSA), Koblenz, Sept 5–9, ed Klaus G Troitzsch, Folbach. pp. 198-205.
Dorigatti, M., Chiotti, O., and H.E., Salomone, (2013). "Modeling dynamic interactions in supply chain using agent-based simulations", Iberoamerican Journal of Industrial Engineering, Florianópolis, SC, Brasil, Vol. 5, No. 10, pp. 158- 171.
Dorigatti, M., Chiotti, O., and H.E., Salomone, (2016). "Modeling Transport in Service-Oriented Framework for Agent-Based Simulations of Supply Chains", In: Symposium on Industrial Informatics SII 2016 45th Argentine Conference on Informatics, Buenos Aires, Argentina, ISSN: 2451-7542 - Página 190.
Durant, W., (1926). The Story of Philosophy, Simon & Schuster, ISBN 0-671-69500-2.
Edali, M., and G., Yucel, (2018). "Exploring the Behavior Space of Agent-Based Simulation Models Using Random Forest Metamodels and Sequential Sampling", Simulation Modelling Practice and Theory, Vol. 92, pp. 62-81.
El Mouayni, I., Etienne, A., Lux A., Siadat, A., and J.Y., Dantan, (2018). "A simulation-based approach for time allowances assessment during production system design with consideration of worker’s fatigue, learning and reliability", Computers & Industrial Engineering, Vol. 139, 105650.
El-Hani, C.N., and A.M., Pereira, (2000). "Higher-Level Descriptions: Why Should We Preserve Them?", in Peter Bogh Andersen, Claus Emmeche, Niels Ole Finnemann, and Peder Voetmann Christiansen (eds.), Downward Causation: Minds, Bodies and Matter, Vol. 133, pp. 118–42.
Esmaeili, M., Vancheri, A., and P., Giordano, (2010). "Mathematical and computational modeling of housing market dynamics", Systems Conference, 2010 4th Annual IEEE, pp. 29-34.
Fallah-Fini, S., Rahmandad, H., Triantis, K., and J.M., de la Garza, (2010). "Optimizing highway maintenance operations: Dynamic considerations", System Dynamics Review, Vol. 26, No. 3, pp. 216–238.
Fan, C., Gong, L., and H., Li, (2019). "An agent-based model approach for assessing tourist recovery strategies after an earthquake: A case study of Jiuzhai Valley", Tourism Management, Vol. 75, pp. 307–317.
Fern´andez-Isabel, A., Fuentes-Fern´andez, R., and I.M., de Diego, (2019). "Modeling Multi-Agent Systems to Simulate Sensor-Based Smart Roads", Simulation Modelling Practice and Theory, Vol. 99, 101994.
Fowler J., and M., Laver, (2008). "A tournament of party decision rules", J. Conf. Resolut., Vol. 52, No. 1, pp. 68–92.
Furtado, B.A., (2018). PolicySpace: agent-based modeling, Rio de Janeiro: Ipea, ISBN 978-85-7811-326-1.
García-Magariño, I., Palacios-Navarroc, G., Lacuesta, R., and J., Lloret, (2018). "ABSCEV: An agent-based simulation framework about smart transportation for reducing waiting times in charging electric vehicles", Computer Networks, Vol. 138, No. 19, pp. 119-135.
Ghadimi, p., Wang, C., Lim, M.K., and C., Heavey, (2018). "Intelligent sustainable supplier selection using multi-agent technology: theory and application for Industry 4.0 supply chains", Computers & Industrial Engineering, Vol. 127, pp. 588-600.
Gharakhanlou, N.M., and N., Hooshangi, (2020). "Spatio-temporal simulation of the novel coronavirus (COVID-19) outbreak using the agent-based modeling approach (case study: Urmia, Iran)", Informatics in Medicine Unlocked, Vol. 20, 100403.
Giannakis, M., and M., Louis, (2011). "A multi-agent based framework for supply chain risk management", Journal of purchasing & Supply management, Vol. 17, pp. 23-31.
Gilmore, D., (2008). "The war on supply chain complexity", http://scdigest.com/assets/FirstThoughts/08-08-21.php.
Ginovart, M., and C., Prats, (2012). "A bacterial individual-based virtual bioreactor to test handling protocols in a Netlogo platform", ifac proceedings volumes, vol. 45, issue 2, pp. 647-652.
goli, a., and s.m.r., davoodi, (2018). "Coordination policy for production and delivery scheduling in the closed loop supply chain", Prod. Eng. Res. Devel, Vol. 12, pp. 621–63.
Gotts, N.M., van Voorn, G.A.K., Polhill, J.G., de Jong, E., Edmonds, B., Hofstede, G.J., and R., Meyer, (2018). "Agent-based modelling of socio-ecological systems: Models, projects and ontologies", Ecological Complexity, Vol. 40, Part B, 100728.
Gupta, A., and C., Lawsirirat, (2006). "Strategically optimum maintenance of monitoring-enabled multi-component systems using continuous-time jump deterioration models", Journal of Quality in Maintenance Engineering, Vol. 12, No. 3, pp.306–329.
Hajy Alikhani, P., Sadeghi Moghadam, M.R., Razavi, S.M., and A., Mohaghar, (2019). "Revenue management and seller pricing decisions in retail industry: An agent-based model", Journal of Industrial Engineering and Management Studies, Vol. 6, No. 2, pp. 25-43.
Hanseth, O., and K., Lyytinen, (2010). "Design theory for dynamic complexity in information infrastructures: The case of building internet", J. Inf. Technol., Vol. 25, pp. 1–19.
Hashempour Bakhtiari, P., Nikoo, M.R., Izady, A., and N., Talebbeydokhti, (2019). "A coupled agent-based risk-based optimization model for integrated urban water management", Sustainable Cities and Society, Vol. 53, 101922.
Heidary, M.H., and A., Aghaie, (2019). "Risk averse sourcing in a stochastic supply chain: A simulation-optimization Approach", Computers & Industrial Engineering, Vol. 130, pp. 62–74.
Heywood, P., Maddock, S., Casas, J., Garcia, D., Brackstone, M., and P., Richmond, (2018). "Data-parallel agent-based microscopic road network simulation using graphics processing units", Simulation Modelling Practice and Theory, Vol. 83, pp. 188–200.
Hidayat, S., and M., Ridwan, (2013). "Applying Netlogo simulation model to balance the upstream palm oil supply chain", Proceeding, 6th International Seminar on Industrial Engineering and Management. ISSN: 1978-774X.
Hidayat, S., and Marimin, (2014). "Agent based modeling for investment and operational risk considerations in palm oil supply chain", International Journal of Supply Chain Management (IJSCM), ISSN: 2050-7399 (Online), 2051-3771 (Print).
Holcombe, M., and S., Coakley, (2006). "A general framework for agent-based modelling of complex systems", https://www.researchgate.net/publication/228370258.
Holland, J., and J., Miller, (1991). "Artificial agents in economic theory", Am. Econ. Rev. Pap. Proc., Vol. 81, pp. 365–70.
Holmgren, J., Davidsson, P., Persson J.A., and L., Ramstedt, (2012). "TAPAS: A multi-agent-based model for simulation of transport chains", Simulation Modelling Practice and Theory, Vol. 23, pp. 1–18.
Honebein, P.C., (2009). "Transmergent learning and the creation of extraordinary educational experiences", Educ. Technol., Vol. 49, pp. 27–34.
Hou, Y., Wang, X., Wu, Y.J., and P., He, (2018). "How does the trust affect the topology of supply chain network and its resilience? An agent-based approach", Transportation Research Part E, Vol. 116, pp. 229–241.
Huanhuan, W., Yuelin, Z., and Z., Meilin, (2013). "A framework for integrating discrete event simulation with agent-based modeling", Information management, Innovation Management and Industrial Engineering (ICII), 2013 6th International Conference, pp. 176-180.
Hunt, J.G., Osborn, R.N., and K.B., Boal, (2009). "The architecture of managerial leadership: Stimulation and channeling of organizational emergence", Leadersh., Vol. 20, pp. 503–516.
Jabri, A., and T., Zayed, (2017). "Agent-based modeling and simulation of earthmoving operations", Automation in Construction, Vol. 81, pp. 210-223.
Janssen, S., Sharpanskykh, A., and R., Curran, (2019). "Agent-based modelling and analysis of security and efficiency in airport terminals", Transportation Research Part C, Vol. 100, pp. 142–160.
Jaxa-Rozen, M., Kwakkel, J., and M., Bloemendal, (2019). "A coupled simulation architecture for agent-based/geohydrological modelling with NetLogo and MODFLOW", Environmental Modelling and Software, Vol. 115, pp. 19-37.
Jia, M., Srinivasan, R.S., Ries, R., Weyer, N., and G., Bharathy, (2019). "A systematic development and validation approach to a novel agent-based modeling of occupant behaviors in commercial buildings", Energy & Buildings, Vol. 199, pp. 352–367.
Jung, J.J., (2009). "Trustworthy knowledge diffusion model based on risk discovery on peer-to-peer networks", Expert Systems with Applications, Vol. 36, pp. 7123–7128.
Kamimura, K., Gardiner, B., Dupont, S., and J., Finnigan, (2019). "Agent-based modelling of wind damage processes and patterns in forests", Agricultural and Forest Meteorology, Vol. 268, pp. 279–288.
Karslen, R., Papachristos, G., and N., Rehmatulla, (2019). "An agent-based model of climate-energy policies to promote wind propulsion technology in shipping", Environmental Innovation and Societal Transitions, Vol. 31, pp. 33-53.
Kashani, H., Movahedi, A., and M.A., Morshedi, (2019). "An agent-based simulation model to evaluate the response to seismic retrofit promotion policies", International Journal of Disaster Risk Reduction, Vol. 33, pp. 181–195.
Kim, J., (2000). "Mind in a Physical World: An Essay on the Mind-body Problem and Mental Causation", The MIT Press, Cambridge.
Kim, S., Son, Y.J., Tian, Y., Chiu, Y.C., and C.Y.D., Yang, (2017). "Cognition-based hierarchical in route planning for multi-agent traffic simulation", Expert Systems with Applications, Vol. 85, pp. 335-347.
Kollman K., Miller J., and S.H., Page, (2003). "Computational models of political economy", Cambridge,MA: MIT Press.
Labarthe, O., Espinasse, B., Ferrarini, A., and B., Montreuil, (2007). "Toward a methodological framework for agent-based modeling and simulation of supply chains in a mass customization context", Simulation Modeling Practice and Theory, Vol. 15, No. 2, pp. 113-136.
Larson, C.S., (2016). "Evidence of shared aspects of complexity science and quantum phenomena", Cosm. Hist. J. Nat. Soc. Philos., Vol. 12, pp. 160–171.
Lättilä, L., Hilletofth, P., and B., Lin, (2010). "Hybrid simulation models–when, why, how?", Expert Systems with Applications, Vol. 37, No. 12, pp. 7969-7975.
Lauser, B., (2010). "Post-merger integration and change processes from a complexity perspective", Balt. J. Manag., Vol. 5, pp. 6–27.
Li, G., Ji, P., Sun L.Y., and W.B., Lee, (2009). "Modeling and simulation of supply network evolution based on complex adaptive system and fitness landscape", Computers & Industrial Engineering, Vol. 56, pp. 839–853.
Li, J., Sheng, Z., and H., Liu, (2010). "Multi-agent simulation for the dominant players’ behavior in supply chains", Simulation Modeling Practice and Theory, Vol.18, pp. 850–859.
Lin, J., and Q., Long, (2011). "Development of a multi-agent-based distributed simulation platform for semiconductor manufacturing", Expert Systems with Applications, Vol. 38, pp. 5231–5239.
Lindberg, C., and M., Schneider, (2013). "Combating infections at Maine Medical Center: Insights into complexity informed leadership from positive deviance", Leadership, Vol. 9, pp. 229–253.
Liu, Y., Wang, T., Zhang, H., Cheutet, V., and G., Shen, (2019). "The design and simulation of an autonomous system for aircraft maintenance scheduling", Computers & Industrial Engineering, Vol. 137, 106041.
Liu, Z., Rexachs, D., Epelde, F., and E., Luque, (2017). "A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity", Computers & Industrial Engineering, Vol. 103, pp. 300–309.
Lynch, P., Adendorff, K., Yadavalli, V.S.S., and O., Adetunji, (2013). "Optimal spares and preventive maintenance frequencies for constrained industrial systems", Computers and Industrial Engineering, Vol. 65, No. 3, pp. 378–387.
Macal, C.M., (2018). "Tutorial on agent-based modeling and simulation: ABM design for the Zombie Apocalypse", In: Proceedings of the 2018 Winter Simulation Conference.
Macal, C.M., and M.J., North, (2005a). "Tutorial on agent-based modeling and simulation", In: Proceedings of the 2006 Winter Simulation Conference, IEEE.
Macal, C.M., and M.J., North, (2006b). "Tutorial on agent-based modeling and simulation part 2: How to model with agents", In: Proceedings of the 2006 Winter Simulation Conference, Vols. 1-5, pp. 73-83.
Macal, C.M., and M.J., North, (2007c). "Agent-based modeling and simulation: Desktop ABMS", In: Proceedings of the 2007 Winter Simulation Conference, pp. 95-106, IEEE.
Macal, C.M., and M.J., North, (2010d). "Tutorial on agent-based modelling and simulation", Journal of Simulation, Vol. 4, No. 3, pp. 151-162.
Macal, C.M., and M.J., North, (2011e). "Introductory Tutorial: Agent-Based Modeling and Simulation", Proceedings of the 2011 Winter Simulation Conference (Wsc), pp. 1451-1464.
Macal, C.M., and M.J., North, (2013f). "Introductory Tutorial: Agent-Based Modeling and Simulation", In: 2013 Winter Simulation Conference (Wsc), pp. 362-376.
Macal, C.M., and M.J., North, (2014g). "Introductory Tutorial: Agent-Based Modeling and Simulation", In: Proceedings of the 2014 Winter Simulation Conference (Wsc), pp. 6-20.
Maia, P., Pérez-Rodríguez, G., Pérez-Pérez, M., Fdez-Riverola, F., Lourenço, A., and N.F., Azevedo, (2019). "Application of agent-based modelling to assess single-molecule transport across the cell envelope of E. coli", Computers in Biology and Medicine, Vol. 107. P. 218–226.
Mainzer, K., (2007). Thinking in complexity: The computational dynamics of matter, mind and mankind, 5th edition, Berlin and Heidelberg: Springer 2007, 7.
Maktoubian, J., Ghasempour-Mouziraji, M., and M., Noori, (2018). "Oil and gas supply chain optimization using agent-based modeling (ABM) integration with big data technology", Ghent, Vol. 4, No. 9.
Mallory, A., Crapper, M., and R.H., Holm, (2019). "Agent-based modelling for simulation-based design of sustainable faecal sludge management systems", Int. J. Environ. Res. Public Health, Vol. 16, 1125.
Marcon, E., Chaabane, S., Sallez, Y., Bonte, T., and D., Trentesaux, (2017). "A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care", Simulation Modelling Practice and Theory, Vol. 74, pp. 134–151.
Marini, M., Chokani, N., and R.S., Abhari, (2019). "Immigration and future housing needs in Switzerland: Agent-based modelling of agglomeration Lausanne", Computers, Environment and Urban Systems, Vol. 78, 101400.
Miller, J.H., and S.E., Page, (2007). "Complex Adaptive Systems, an introduction to computational models of social life", Princeton University Press, ISBN-13: 978-0-691-13096-5.
Mittal, A., Krejci, C.C., and M.C., Dorneich, (2019). "An agent-based approach to designing residential renewable energy systems", Renewable and Sustainable Energy Reviews, Vol. 112, pp. 1008–1020.
Mittelstrass, J., (2014). "Complexity, reductionism, and holism in science and philosophy of science", Complexity and Analogy in Science. Pontifical Academy of Sciences, Acta22, Vatican City 2014.
Modrak, V., and S., Bednar, (2016). "Topological complexity measures of supply chain networks", Procedia CIRP, Vol. 40, pp. 295 – 300.
Namany, S., Govindan, R., Alfagih, L., McKay, G., and T., Al-Ansari, (2020). "Sustainable food security decision-making: An agent-based modeling approach", Journal of Cleaner Production, Vol. 255, 120296.
Nnene, O.A., Joubert, J.W., Zuidgeest, M.H.P., (2019). "Transit network design with meta-heuristic algorithms and agent based simulation", IFAC PapersOnLine, Vol. 52, No. 3, pp. 13–18.
Olusola, F.T., Siebers, P.O., Ryan, B., Figueredo, G.P. (2019). "Using agent-based modelling for investigating modal shift: the case of university travel", Computers & Industrial Engineering, Vol. 139, 106077.
Oscar Kraan, O., Dalderop, S., Kramer, G.J., and I., Nikolic, (2019). "Jumping to a better world: An agent-based exploration of criticality in lowcarbon energy transitions", Energy Research & Social Science, Vol. 47, pp. 156–165.
Page, S.E., (2006). “Essay: path dependence”, Q. J. Polit. Sci., Vol. 1, No. 1, pp. 87–115
Parunak, H.V.D., Savit, R., and R.L., Riolo, (1998). "Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users’ Guide", In: Sichman J.S., Conte R., Gilbert N. (eds) Multi-Agent Systems and Agent-Based Simulation. MABS 1998. Lecture Notes in Computer Science, Vol. 1534. Springer, Berlin, Heidelberg.
Pathak, S.D., Day, J.M., Nair, A., Sawaya, W.J., and M.M., Kristal, (2007). "Complexity and adaptivity in supply networks: Building supply network theory using a complex adaptive systems perspective", Decis. Sci., Vol. 38, No. 4, pp. 547–580.
Perera, S., Perera, H.N., and D., Kasthurirathna, (2017). "Structural characteristics of complex Supply chain networks", The 2017 Moratuwa Engineering Research Conference (MERCon).
Piguliucci, M., (2014). "Between holism and reductionism: a philosophical primer on emergence", Biological Journal of the Linnean Society, Vol. 112, pp. 261–267.
Platt, D., and T., Gebbie, (2018). "Can agent-based models probe market microstructure?", Physica A: Statistical Mechanics and its Applications, Vol. 503, No. c, pp. 1092-1106.
Poli, R., (2013). "A note on the difference between complicated and complex social systems”, CADMUS, Vol. 2, No. 1.
Ponnambalam, L., Long, D.H., Sarawgi, D., Fu, X., and R.S.M., Goh, (2014). "Multi-Agent Models to Study the Robustness and Resilience of Complex Supply Chain Networks", In: 2014 International Conference on Intelligent Autonomous Agents, Networks and Systems Bandung, Indonesia.
Pouladi, P., Afshar, A., Afshar, M.H., Molajou, A., and H., Farahmand, (2019). "Agent-based socio-hydrological modeling for restoration of Urmia Lake: Application of theory of planned behavior", Journal of Hydrology, Vol. 576, pp. 736–748.
Puche, J., Costas, J., Ponte, B., Pino, R., and D., de la Fuente, (2019). "The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspective", Expert Systems with Applications, Vol. 120, pp. 87–102.
Rachid, B., Mohamed, T., and M.A., Khouaja, (2018). "An agent based modeling approach in the strategic human resource management, including endogenous and exogenous factors", Simulation Modelling Practice and Theory, Vol. 88, pp. 32-47.
Ravandi, B., and N., Jovanovic, (2019). "Impact of plate size on food waste: Agent-based simulation of food consumption", Resources, Conservation & Recycling, Vol. 149, pp. 550–565.
Reddy, R.H., Kumar, S.L., Fernandes, K.J., and M.K., Tiwari, (2016). "A multi-agent system based simulation approach for planning procurement operations and scheduling with multiple cross-docks", Computers & Industrial Engineering, Vol. 64, No. 2, pp. 580-588.
Rendón Rozo, K., Arellana, J., Santander-Mercado, A., and M., Jubiz-Diaz, (2019). "Modelling building emergency evacuation plans considering the dynamic behaviour of pedestrians using agent-based simulation", Safety Science, Vol. 113, pp. 276–284.
Rouleau, M., and R., Zupko, (2019). "Agent-based modeling for bioenergy sustainability assessment", Landscape and Urban Planning, Vol. 188, pp. 54-63.
Ruiz, N., Giret, A., Botti, V., and V., Feria, (2014). “An intelligent simulation environment for manufacturing systems”, Computers & Industrial Engineering, Vol. 76, pp. 148–168.
Sachs, J., Meng, Y., Giarola, S., and A., Hawkes, (2019). "An agent-based model for energy investment decisions in the residential sector", Energy, Vol. 172, pp. 752-768.
Saeedian, M., Sepehri, M.M., Jalalimanesh, A., and P., Shadpour, (2019). "Operating room orchestration by using agent-based simulation", Perioperative Care and Operating Room Management, Vol. 15, 100074.
Sajedinejad A., Hassannayebi E., and M.S., Asadi Lari (2020). "Simulation based optimization of multi-product supply chain under a JIT system", Journal of Industrial Engineering and Management Studies, Vol. 7, No. 1, pp. 87-106.
Santa-Eulalia, L.A., Halladjian, G., D’Amours, S., and J., Frayret, (2011). "Integrated methodological frameworks for modeling agent-based advanced supply chain planning systems: A systematic literature review", Journal of Industrial Engineering and Management, Vol. 4, No. 4, pp. 624-668.
Santos, F., Nunes, I., and A.L.C., Bazzan, (2018). "Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain", Simulation Modelling Practice and Theory, Vol. 83, pp. 162–187.
Sauser, B., Baldwin, C., Pourreza, S., Randall, W., and D., Nowicki, (2017). "Resilience of small- and medium-sized enterprises as a correlation to community impact: an agent-based modeling approach", Springer, DOI 10.1007/s11069-017-3034-9.
Savaglio, C., Ganzha, M., Paprzycki, M., Bădică, C., Ivanović, M., and G., Fortino, (2020). "Agent-based Internet of Things: State-of-the-art and research challenges", Future Generation Computer Systems, Vol. 102, pp. 1038–1053.
Serdarasan, S., (2013). "A review of supply chain complexity drivers", Computers & Industrial Engineering, Vol. 66, pp. 533–540.
Serrano, E., and C.A., Iglesias, (2016). "Validating viral marketing strategies in Twitter via agent-based social simulation", Expert Systems with Applications, Vol. 50, pp. 140–150.
Shen, Y., Guo, Y., and W., Chen, (2019). “Safety analysis of China's marine energy channel based on Multi - Agent simulation”, Energy Procedia, Vol. 158, pp. 3259–3264.
Shetaban, S., Seyyed Esfahani, M.M., Saghaei, A. and A., Ahmadi, (2020). "Operations research and health systems: A literature review", Journal of Industrial Engineering and Management Studies, Vol. 7, No. 2, pp. 240-260.
Shqair, M., Altarazi, S. and S., Al-Shihabi, (2014). "A statistical study employing agent-based modeling to estimate the effects of different warehouse parameters on the distance traveled in warehouses", Simulation Modeling Practice and Theory, Vol. 49, pp. 122–135.
Silva, P.C.L., Batista, P.V.C., Lima, H.S., Alves, M.A., Guimarães, F.G. and R.C.P., Silva, (2020). "COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions", Chaos, Solitons and Fractals, Vol. 139, 110088.
Spangher, L., Vitter, J.S. and R., Umstattd, (2019). "Characterizing fusion market entry via an agent-based power plant fleet Model", Energy Strategy Reviews, Vol. 26, 100404.
Streit, R.E. and Borenstein, (2009). "An agent-based simulation model for analyzing the governance of the Brazilian Financial System", Expert Systems with Applications, Vol. 36, pp.11489–11501.
Suarez-Munoz, M., Bonet-Garcia, F., Hodar, J., A., Herrerod, J., Tanase, M. and L., Torres-Muros, (2019). "INSTAR: An Agent-Based Model that integrates existing knowledge to simulate the population dynamics of a forest pest", Ecological Modelling, Vol. 411, 108764.
Suk Na, H. and A., Banerjee, (2019). "Agent-based discrete-event simulation model for no-notice natural disaster evacuation planning", Computers & Industrial Engineering, Vol. 129, pp. 44-55.
Surana, A., Kumara, S., Greaves, M. and U.N., Raghavan, (2005). "Supply-chain networks: a complex adaptive systems perspective", International Journal of Production Research, Vol. 43, No. 20, pp. 4235–4265.
Taherian, M., Mousavi, S.M. and H., Chamani, (2018). "An agent-based simulation with NetLogo platform to evaluate forward osmosis process (PRO Mode)", Chinese Journal of Chemical Engineering, Vol. 26, No. 12, pp. 2487-2494.
Tateyama, T., Tateno, T. and K., Shimizu, (2010). "Dynamic work planning by using simulation-based optimization in consideration of workers’ skill and training", Journal of Advanced Mechanical Design, Systems and Manufacturing, Vol. 4, No. 3, pp. 597–604.
Tayyaran, S., Toloie-Eshlaghy, A., Radfar, R. and A.R., Purebrahimi, (2019). "Agent-based model developed to assess supply chain agility (Case study: Institute of higher education, science and research branch of Tehran)", Journal of System Management, Vol. 5, No. 1, pp. 1-18.
Tian, S. and S., Chang, (2020). "An agent-based model of household energy consumption", Journal of Cleaner Production, Vol. 242, 118378.
Tirkolaee, E.B., Goli, A. and G.W., Weber, (2019b). "Multi-objective aggregate production planning model considering overtime and outsourcing options under fuzzy seasonal demand", A. Hamrol et al. (Eds.): Advances in Manufacturing II, Vol. 2, LNME, pp. 81–96.
Tirkolaee, E.B., Goli, A., Pahlevan, M. And R.M., Kordestanizadeh, (2019a). "A robust bi-objective multi-trip periodic capacitated arc routing problem for urban waste collection using a multi-objective invasive weed optimization", Waste Management & Research, Vol. 37, No. 11, pp. 1089-1101.
Tounsi, J., Azaiez, J., Habchi, G. and J., Boissière, (2009). "A multi-agent approach for modelling SMEs mechatronic supply chains", Proceedings of the 13th IFAC Symposium on Information Control Problems in Manufacturing, Moscow, Russia, June 3-5.
Triki, C., Alalawin, A. and G., Ghiani, (2013). "Optimizing the performance of complex maintenance systems", In 2013 5th International conference on modeling, simulation and applied optimization, ICMSAO 2013, 28–30 April 2013, Hammamet, Tunisia, IEEE, Piscataway, NJ, pp. 1–6.
Um, W., Lu, H., and T.J.K., Hall, (2010). "A Study of Multi-Agent Based Supply Chain Modeling and Management", iBusiness, Vol. 2, pp. 333-341.
Uppin, M.S. (2010). "Multi Agent System Model of Supply Chain for Information Sharing", Contemporary Engineering Sciences, Vol. 3, No. 1, pp. 1 – 16.
Utomo, D.S., Onggo, B.S., and S., Eldridge, (2017). "Applications of agent-based modeling and simulation in the agri-food supply chains", European Journal of Operational Research, Vol. 296, No. 16, pp. 1–12.
Van der Zee, D.J., (2019). "Model simplification in manufacturing simulation – Review and framework", Computers & Industrial Engineering, Vol. 127, pp. 1056–1067.
Vizzari, G., Crociani, L., and S., Bandini, (2020). "An agent-based model for plausible wayfinding in pedestrian simulation", Engineering Applications of Artificial Intelligence, Vol. 87, 103241.
Wagner, N., and V., Agrawal (2014). "An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster", Expert Systems with Applications, Vol. 41, pp. 2807–2815.
Wang, A., Cui, B., Feng, Q., Huang, B., Ren, Y., Sun, B., Yang, D., and Z., Zuo, (2019). "An agent-based approach for resources’ joint planning in a multi-echelon inventory system considering lateral transshipment", Computers & Industrial Engineering, Vol. 138, 106098.
Wang, H., Gu, T., Jin, M., Zhao, R., and G., Wang, (2018). "The complexity measurement and evolution analysis of supply chain network under disruption risks", Chaos, Solitons and Fractals, Vol. 116, pp. 72–78.
Wang, L.C., and S.K., Lin, (2009). “A multi-agent based agile manufacturing planning and control system”, Computers & Industrial Engineering, Vol. 57, pp. 620–640.
Wang, Z., and J., Zhang, (2019). "Agent-based evaluation of humanitarian relief goods supply capability", International Journal of Disaster Risk Reduction, Vol. 36, 101105.
Wilensky, U., and W., Rand, (2015). "An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo", ISBN 978-0-262-73189-8.
Yang, Q., Gruenbacher, D., Heier Stamm, J.L., Brase, G.L., DeLoach, S.A., Amrine, D.A. and C., Scoglio (2019). "Developing an agent-based model to simulate the beef cattle production and transportation in southwest Kansas", Physica A, Vol. 526, 120856.
Yin, H., Wu, J., Liu, Z., Yang, X., Qu, Y., and H., Sun, (2019). "Optimizing the release of passenger flow guidance information in urban rail transit network via agent-based simulation", Applied Mathematical Modelling, Vol. 72, pp. 337-355.
Zeng, y., Dong, P., Shi, Y., Wang, L., and Y., Li, (2020). "Analyzing the co-evolution of green technology diffusion and consumers’ pro-environmental attitudes: An agent-based model", Journal of Cleaner Production, Vol. 256, 120384.
Zhang, D.Z., Anosike, A.I., Lim, M.K., and O.M., Akanle, (2006). "An agent-based approach for e-manufacturing and supply chain integration", Computers & Industrial Engineering, Vol. 51, pp. 343–360.
Zhang, Y., Huang, G., Q., Sun, S., and T., Yang, (2014). "Multi-agent based real-time production scheduling method for radio frequency identification enabled ubiquitous shop-floor environment", Computers & Industrial Engineering, Vol. 76, pp. 89–97.
Zhao, K., Zuo, Z., and J.V., Blackhurst, (2019). "Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach", J Oper Manag, Vol. 65, pp. 190–212.
Zhok, A., (2015). "Phenomenological Ontology and Supervenience", Metodo, International Studies in Phenomenology and Philosophy, Vol. 3, No. 2.