H. Akaike, Information theory and an extension of the maximum likelihood principle. In: Selected Papers of Hirotugu Akaike, pp.199-213, 1998.
DOI : 10.1007/978-1-4612-1694-0_15

C. Andersson, K. Frenken, and A. Hellervik, A Complex Network Approach to Urban Growth, Environment and Planning A, vol.401, issue.10, p.1941, 2006.
DOI : 10.1103/PhysRevE.58.295

H. Baptiste, Interactions entre le système de transport et les systèmes de villes: perspective historique pour une modélisation dynamique spatialisée, 1999.

O. Bastani, C. Kim, and H. Bastani, Interpretability via Model Extraction, 2017.

M. Batty and S. Mackie, The Calibration of Gravity, Entropy, and Related Models of Spatial Interaction, Environment and Planning A: Economy and Space, vol.4, issue.2, pp.205-233, 1972.
DOI : 10.1068/a030001

M. Bedau, Downward Causation and Autonomy in Weak Emergence, Principia: an international journal of epistemology, vol.6, issue.1, pp.5-50, 2002.
DOI : 10.7551/mitpress/9780262026215.003.0010

URL : https://dialnet.unirioja.es/descarga/articulo/5251315.pdf

L. Bettencourt, J. Lobo, and G. West, Why are large cities faster? Universal scaling and self-similarity in urban organization and dynamics, The European Physical Journal B, vol.307, issue.3, pp.285-293, 2008.
DOI : 10.1140/epjb/e2008-00250-6

C. Biernacki, G. Celeux, and G. Govaert, Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000.
DOI : 10.1109/34.865189

J. Bigotte, D. Krass, A. Antunes, and O. Berman, Integrated modeling of urban hierarchy and transportation network planning, Transportation Research Part A: Policy and Practice, vol.44, issue.7, pp.506-522, 2010.
DOI : 10.1016/j.tra.2010.03.020

A. Bretagnolle, Villes et réseaux de transport : des interactions dans la longue durée, 2009.

A. Bretagnolle, H. Mathian, D. Pumain, and C. Rozenblat, Dynamiques de long-terme des villes europ??ennes??: vers un mod??le spatial de croissance urbaine, Cybergeo, 2000.
DOI : 10.1068/a220527

A. Bretagnolle and D. Pumain, Comparer deux types de systèmes de villes par la modélisation multi-agents, 2010.

. Qu, appelle t-on aujourd'hui les sciences de la complexité? Langages, réseaux, marchés, territoires, pp.271-299

J. Chang, Models of the Relationship between Transport and Land???use: A Review, Transport Reviews, vol.21, issue.3, pp.325-350, 2006.
DOI : 10.1016/0094-1190(85)90046-4

W. Collischonn and J. Pilar, A direction dependent least-cost-path algorithm for roads and canals, International Journal of Geographical Information Science, vol.54, issue.4, pp.397-406, 2000.
DOI : 10.1007/3-540-60392-1_16

URL : http://arandu.org.ar/pub/pd-gis.pdf

C. Cottineau, L'´ evolution des villes dans l'espace post-soviétique. Observation et modélisations, 2014.

C. Cottineau, R. Reuillon, P. Chapron, S. Rey-coyrehourcq, and D. Pumain, A Modular Modelling Framework for Hypotheses Testing in the Simulation of Urbanisation, Systems, vol.51, issue.4, pp.348-377, 2015.
DOI : 10.1111/j.1538-4632.1988.tb00161.x

T. Dietterich, Overfitting and undercomputing in machine learning, ACM Computing Surveys, vol.27, issue.3, pp.326-327, 1995.
DOI : 10.1145/212094.212114

J. Favaro and D. Pumain, Gibrat Revisited: An Urban Growth Model Incorporating Spatial Interaction and Innovation Cycles. ????????????????????????????????????????????????????????????????????????????????????, Geographical Analysis, vol.43, issue.3, pp.261-286, 2011.
DOI : 10.1111/j.1538-4632.2011.00819.x

G. Frasco, J. Sun, H. Rozenfeld, B. , and D. , Spatially Distributed Social Complex Networks, Physical Review X, vol.1, issue.1, p.11008, 2014.
DOI : 10.1257/aer.101.5.2205

URL : http://doi.org/10.1103/physrevx.4.011008

X. Gabaix, Zipf's Law for Cities: An Explanation, The Quarterly Journal of Economics, vol.114, issue.1, pp.739-767, 1999.
DOI : 10.1086/452537

URL : http://pages.stern.nyu.edu/%7Exgabaix/papers/zipf.pdf

E. Glaeser, Triumph of the city: How our greatest invention makes us richer, smarter, greener, healthier, and happier, 2011.

F. Guérin-pace and D. Pumain, 150 ans de croissance urbaine, Economie et statistique, vol.230, issue.1, pp.5-16, 1990.
DOI : 10.3406/estat.1990.5426

P. Krugman, Space: The Final Frontier, Journal of Economic Perspectives, vol.12, issue.2, pp.161-174, 1998.
DOI : 10.1257/jep.12.2.161

R. Mantegna and H. Stanley, Introduction to econophysics: correlations and complexity in finance, 1999.
DOI : 10.1017/CBO9780511755767

URL : http://physicstoday.scitation.org/doi/pdf/10.1063/1.1341926

C. Marchionni, Geographical Economics versus Economic Geography: Towards a Clarification of the Dispute, Environment and Planning A, vol.13, issue.10, pp.1737-1753, 2004.
DOI : 10.1093/oxrep/12.3.52

A. Masucci, J. Serras, A. Johansson, and M. Batty, Gravity versus radiation models: On the importance of scale and heterogeneity in commuting flows, Physical Review E, vol.5, issue.2, p.22812, 2013.
DOI : 10.1080/0022250X.1971.9989795

M. Navakatikyan, A Model for Residence Time in Concurrent Variable Interval Performance, Journal of the Experimental Analysis of Behavior, vol.87, issue.1, pp.121-141, 2007.
DOI : 10.1901/jeab.2007.01-06

URL : http://europepmc.org/articles/pmc1790879?pdf=render

V. Nitsch, Zipf zipped, Journal of Urban Economics, vol.57, issue.1, pp.86-100, 2005.
DOI : 10.1016/j.jue.2004.09.002

J. Pohle, R. Langrock, F. Van-beest, and N. Schmidt, Selecting the Number of States in Hidden Markov Models -Pitfalls, Practical Challenges and Pragmatic Solutions. arXiv preprint, 2017.

D. Pumain, Pour une th??orie ??volutive des villes, Espace g??ographique, vol.26, issue.2, pp.119-134, 1997.
DOI : 10.3406/spgeo.1997.1063

URL : http://www.persee.fr/docAsPDF/spgeo_0046-2497_1997_num_26_2_1063.pdf

D. Pumain, Multi-agent system modelling for urban systems: The series of simpop models In: Agent-based models of geographical systems, pp.721-738, 2012.

D. Pumain, Urban systems dynamics, urban growth and scaling laws: The question of ergodicity. In: Complexity Theories of Cities Have Come of Age, pp.91-103, 2012.
DOI : 10.1007/978-3-642-24544-2_6

D. Pumain, F. Paulus, and C. Vacchiani-marcuzzo, Innovation cycles and urban dynamics. Complexity perspectives in innovation and social change, pp.237-260, 2009.
DOI : 10.1007/978-1-4020-9663-1_9

URL : https://hal.archives-ouvertes.fr/halshs-01201544

D. Pumain, F. Paulus, C. Vacchiani-marcuzzo, and J. Lobo, Une th??orie ??volutive pour expliquer les lois d'??chelle dans les syst??mes de villes, Cybergeo, 2006.
DOI : 10.1126/science.284.5420.1677

D. Pumain and R. Reuillon, The SimpopLocal Model, pp.21-35, 2017.
DOI : 10.1016/B978-0-12-586050-5.50033-6

URL : https://hal.archives-ouvertes.fr/hal-01118918

D. Pumain and R. Reuillon, Urban Dynamics and Simulation Models, 2017.
DOI : 10.1007/978-3-319-46497-8

D. Pumain and B. Riandey, Le Fichier de l'Ined : "urbanisation de la France", Espace, populations, soci??t??s, vol.4, issue.2, pp.269-277, 1986.
DOI : 10.3406/espos.1986.1136

URL : https://hal.archives-ouvertes.fr/halshs-01520512

D. Pumain and L. Sanders, Theoretical Principles in Interurban Simulation Models: A Comparison, Environment and Planning A, vol.392, issue.9, pp.2243-2260, 2013.
DOI : 10.1007/978-3-642-73049-8

J. Raimbault, Models coupling urban growth and transportation network growth: An algorithmic systematic review approach, 2017.

R. Reuillon, M. Leclaire, R. , and S. , OpenMOLE, a workflow engine specifically tailored for the distributed exploration of simulation models, Future Generation Computer Systems, vol.29, issue.8, pp.1981-1990, 2013.
DOI : 10.1016/j.future.2013.05.003

URL : https://hal.archives-ouvertes.fr/hal-00840744

H. Rozenfeld, D. Rybski, J. Andrade, M. Batty, H. Stanley et al., Laws of population growth, Proceedings of the National Academy of Sciences, vol.97, issue.suppl_1, pp.18702-18707, 2008.
DOI : 10.1257/aer.97.5.1639

URL : http://www.pnas.org/content/105/48/18702.full.pdf

D. Rybski, R. Agc, and J. Kropp, Distance-weighted city growth, Physical Review E, vol.90, issue.4, p.42114, 2013.
DOI : 10.1103/PhysRevE.73.026115

L. Sanders, D. Pumain, H. Mathian, F. Guérin-pace, and S. Bura, SIMPOP: a multiagent system for the study of urbanism, Environment and Planning B: Planning and Design, vol.24, issue.2, pp.287-306, 1997.
DOI : 10.1068/b240287

URL : https://hal.archives-ouvertes.fr/hal-01524134

C. Schmitt, Modélisation de la dynamique des systèmes de peuplement: de SimpopLocaì a SimpopNet, 2014.

C. Schmitt, S. Rey-coyrehourcq, R. Reuillon, and D. Pumain, Half a Billion Simulations: Evolutionary Algorithms and Distributed Computing for Calibrating the Simpoplocal Geographical Model, Environment and Planning B: Planning and Design, vol.18, issue.2, pp.300-315, 2015.
DOI : 10.1007/BFb0056872

URL : https://hal.archives-ouvertes.fr/hal-01118918

M. Storper and A. Scott, Rethinking human capital, creativity and urban growth, Journal of Economic Geography, vol.7, issue.6, pp.147-167, 2009.
DOI : 10.1093/jeg/lbm029

URL : https://hal.archives-ouvertes.fr/hal-01022655

P. Taylor, A Polymath in City Studies, pp.11-20, 2016.
DOI : 10.1007/978-3-319-28056-1_2

T. Thévenin, R. Schwartz, and L. Sapet, Mapping the Distortions in Time and Space: The French Railway Network 1830???1930, Historical Methods: A Journal of Quantitative and Interdisciplinary History, vol.8, issue.1, pp.134-143, 2013.
DOI : 10.1162/JINH_a_00205

G. West, Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Lifein Organisms, Cities, Economies, and Companies. Penguin, 2017.

F. Xie and D. Levinson, Modeling the Growth of Transportation Networks: A Comprehensive Review, Networks and Spatial Economics, vol.39, issue.3, pp.291-307, 2009.
DOI : 10.1111/j.1538-4632.1971.tb00370.x

URL : http://nexus.umn.edu/Papers/ReviewOfNetworkGrowth.pdf