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Introduction to the Modeling and Analysis of Complex Systems

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466 BIBLIOGRAPHY[12] “The Human Connec<strong>to</strong>me Project website.” [Online]. Available: http://www.humanconnec<strong>to</strong>meproject.org/[13] S. Tisue <strong>and</strong> U. Wilensky, “NetLogo: A simple environment for modeling complexity,”in International Conference on <strong>Complex</strong> <strong>Systems</strong>, 2004, pp. 16–21.[14] N. Collier, “Repast: An extensible framework for agent simulation,” University <strong>of</strong>Chicago’s Social Science Research, vol. 36, 2003.[15] S. Luke, C. Ci<strong>of</strong>fi-Revilla, L. Panait, <strong>and</strong> K. Sullivan, “MASON: A new multi-agentsimulation <strong>to</strong>olkit,” in Proceedings <strong>of</strong> <strong>the</strong> 2004 Swarmfest Workshop, vol. 8, 2004.[16] A. Trevorrow, T. Rokicki, T. Hut<strong>to</strong>n, D. Greene, J. Summers, <strong>and</strong> M. Verver, “Golly–aGame <strong>of</strong> Life simula<strong>to</strong>r,” 2005. [Online]. Available: http://golly.sourceforge.net/[17] H. Sayama, “PyCX: A Python-based simulation code reposi<strong>to</strong>ry for complex systemseducation,” <strong>Complex</strong> Adaptive <strong>Systems</strong> <strong>Modeling</strong>, vol. 1, no. 2, 2013.[18] A. Ilachinski, Cellular Au<strong>to</strong>mata–A Discrete Universe. World Scientific, 2001.[19] W. S. McCulloch <strong>and</strong> W. Pitts, “A logical calculus <strong>of</strong> <strong>the</strong> ideas immanent in nervousactivity,” The Bulletin <strong>of</strong> Ma<strong>the</strong>matical Biophysics, vol. 5, no. 4, pp. 115–133, 1943.[20] J. J. Hopfield, “Neural networks <strong>and</strong> physical systems with emergent collective computationalabilities,” Proceedings <strong>of</strong> <strong>the</strong> National Academy <strong>of</strong> Sciences, vol. 79, no. 8,pp. 2554–2558, 1982.[21] ——, “Neurons with graded response have collective computational properties likethose <strong>of</strong> two-state neurons,” Proceedings <strong>of</strong> <strong>the</strong> National Academy <strong>of</strong> Sciences,vol. 81, no. 10, pp. 3088–3092, 1984.[22] S. A. Kauffman, “Metabolic stability <strong>and</strong> epigenesis in r<strong>and</strong>omly constructed geneticnets,” Journal <strong>of</strong> Theoretical Biology, vol. 22, no. 3, pp. 437–467, 1969.[23] A.-L. Barabási, Linked: How Everything Is Connected <strong>to</strong> Everything Else <strong>and</strong> WhatIt Means for Business, Science, <strong>and</strong> Everyday Life. Plume, 2003.[24] K. Börner, S. Sanyal, <strong>and</strong> A. Vespignani, “Network science,” Annual Review <strong>of</strong> InformationScience <strong>and</strong> Technology, vol. 41, no. 1, pp. 537–607, 2007.[25] A.-L. Barabási, Network Science. Online textbook, available at http://barabasi.com/networksciencebook/, 2014.

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