From social simulation to integrative system design

European Physical Journal: Special Topics

Volumn 195, Issue 1, 2011, Pages 69-100

  Helbing, D ^a,b   Balietti, S ^a  

^a ETH ZURICH   (Switzerland)

^b SANTA FE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79957956643     PISSN: 19516355     EISSN: 19516401     Source Type: Journal    
DOI: 10.1140/epjst/e2011-01402-7     Document Type: Review

References (119)

1. D. Helbing, S. Balietti, Fundamental and real world challenges in economics (print) (2010)
2. D. Helbing, S. Balietti, Formulating grand fundamental challenges, http://www.visioneer.ethz.ch
3. D. Helbing, S. Balietti, How to create an Innovation Accelerator. Eur. Phys. J. Special Topics 195, 101 (2011), http://www.visioneer.ethz.ch
4. D. Helbing, S. Balietti, From Social Data Mining to Forecasting Socio-Economic Crises Eur. Phys. J. Special Topics 195, 3 (2011), http://www.visioneer.ethz.ch
5. D. Helbing, Pluralistic modeling of complex systems, CCSS-10-009 (2010), http://ssrn.com/abstract=1646314(2010)
6. R.E. Shannon, In WSC'98: Proceedings of the 30th conference on Winter simulation (Los Alamitos, CA, USA, 1998) (IEEE Computer Society Press), pp. 7-14
7. G.H. Orcutt, Rev. Econ. Stat. 58, 773 (1957)
8. N. Gilbert, K.G. Troitzsch, Simulation for the Social Scientist (Open University Press, 2005)
9. S. Weinberg, New York Rev. Books 49, 16 (2002)
10. S. Wolfram, A New Kind of Science, English (Wolfram Media, 2002), http://www.wolframscience.com 11.
11. I. Foster, Nature 440, 419 (2006)
12. C.S. Taber, R.J Timpone, Comput. Model. Sage, 1996
13. H.J. Aaron, J. Econom. Perspect. 8, 3 (1994), http://ideas.repec.org/a/aea/jecper/v8y1994i2p3-21.html
14. A.P. Kirman, J. Econom. Perspect. 6, 117 (1992), http://ideas.repec.org/a/aea/jecper/v6y1992i2p117-36.html
15. D. Helbing, Managing Complexity: Insights, Concepts, Applications, 1st edn. (Springer, 2007)
16. D. Helbing, Systemic risks in society and economics, Sante Fe Institute, working paper 09-12-044 (2009), http://www.santafe.edu/research/working-papers/abstract/9596e5a57d1f9b7e8fcc289f118555ce/
17. H.V.D. Parunak, Ann. Opera. Res. 75, 69 (1997)
18. Earth simulator: UK-japan climate collaboration, http://www.earthsimulator.org.uk/
19. K. Nagel, Parall. Comput. 27, 1611 (2001)
20. M. Rickert, Nagel K, Future Gener. Comput. Syst. 17, 637 (2001)
21. K. Nagel, R.J. Beckman, C.L. Barrett, Transims for urban planning, LA-UR-98-4389 (1999)
22. K. Nagel, C.L. Barrett, Using microsimulation feedback for trip adaptation for realistic traffic in dallas (1997)
23. P.M. Simon, J. Esser, K. Nagel, Int. J. Modern Physics C 10, 941 (1999)
24. B. Raney, N. Cetin, A. Vollmy, M. Vrtic, K. Axhausen, K. Nagel, Networks Spatial Econom. 3, 23 (2003)
25. M. Balmer, K.W. Axhausen, K. Nagel, An agent based demand modeling framework for large scale micro-simulations (ETH Zurich, Switzerland 2005)
26. D. Charypar, K. Nagel, Transportation 32, 369 (2005)
27. K.W. Axhausen, T. Garling, Transport Rev. 12, 323 (1992)
28. D. Helbing, K. Nagel, Contemp. Phys. 45, 405 (2004)
29. V. Killer, et al., 50th European Regional Science Association (ERSA) (Sweden, 2010)
30. G. Laemmel, D. Grether, K. Nagel, Transportation Research Part C: Emerging Technologies (2009)
31. H. Taubenboeck, et al., Natur. Haz. Earth Syst. Sci. 9, 1509 (2009)
32. J. Min, et al., IIE Trans. 39, 57 (2007)
33. C. Barrett, S. Eubank, M. Marathe, Interactive Computation, edited by D. Goldin, S.A. Smolka, P. Wegner (Springer, Berlin, Heidelberg, 2006), pp. 353-392
34. National infrastructure simulation and analysis center (NISAC), http://www.lanl.gov/programs/nisac/
35. W. Kermack, A. Mckendrick, Bull. Math. Biol. 53, 33 (1991)
36. W. Kermack, A. Mckendrick, Bull. Math. Biol. 53, 57 (1991)
37. W. Kermack, A. McKendrick, Bull. Math. Biol. 53, 89 (1991)
38. V. Colizza, A. Barrat, M. Bartholemy, A. Vespignani, Proc. Nation. Acad. Sci. USA 103, 2015 (2006)
39. J.M. Epstein, Nature 460, 687 (2009)
40. L. Hufnagel, D. Brockmann, T. Geisel, Proc. Nation. Acad. Sci. USA 101, 15124 (2004), http://www.pnas.org/content/101/42/15124.full.pdf+html, http://www.pnas.org/content/101/42/15124.abstract 41. S. Eubank, et al., Nature 429, 180 (2004)
41. S. Eubank, et al., Nature 2004
42. Artificial stock market, http://sourceforge.net/projects/artstkmkt/
43. U-mart, http://www.u-mart.org/
44. Eurace, http://www.eurace.org/
45. D. Helbing, W. Yu, Proc. Nation. Acad. Sci. 106, 3680 (2009)
46. D. Helbing, A. Johansson, Cooperation, norms, and conflict: A unified approach. SFI Working Paper (2009)
47. D. Helbing, et al., PLoS Comput Biol. 6, e1000758 (2010)
48. A. Cangelosi, D. Parisi, Simulating the evolution of language (Springer-Verlag, 2002)
49. R. Dunbar, Grooming, gossip, and the evolution of language (Harvard Univ Pr, 1998)
50. M.A. Nowak, D.C. Krakauer, Proc. Nation. Acad. Sci. USA 96, 8028 (1999)
51. J.M. Epstein, R. Axtell, Growing artificial societies (Cambridge, MA, 1996)
52. Parallel discrete-event simulation of population dynamics (2008), pp. 1047-1054
53. Prace: Partnership for advanced computing in europe, http://www.prace-project.eu/
54. D. Helbing, H. Ammoser, C. Kuehnert, Chap. Disasters as extreme events and the importance of network interactions for disaster response management, edited by S. Albeverio, V. Jentsch, H. Kantz (Berlin: Springer, 2005), pp. 319-348
55. J. Sterman, Business dynamics: systems thinking and modeling for a complex world (Irwin, McGraw-Hill, 2000)
56. Transims: Transportation analysis and simulation system, http://www.transims-opensource.net/
57. Matsims: Multi-agent transport simulation toolkit, http://www.matsim.org/
58. Essa: European social simulation association, http://www.essa.eu.org/
59. D. Helbing, W. Yu, PNAS 12, 5265 (2010)
60. A. Tversky, D. Kahneman, Science 211, 453 (1981)
61. Add-ons for firefox, https://addons.mozilla.org/en-US/firefox/
62. Drupal, an open source content management system. modules page, http://drupal.org/project/Modules
63. Apple web apps store, http://www.apple.com/webapps/
64. Google android market, http://www.android.com/market
65. Swarm, http://www.swarm.org/
66. Repast, recursive porous agent simulation toolkit, http://repast.sourceforge.net/
67. Netlogo, http://ccl.northwestern.edu/netlogo/
68. Sesam, shell for simulated agent systems, http://www.simsesam.de/
69. Wikipedia: Comparison of agent-based modeling software, http://en.wikipedia.org/wiki/Comparison of agent-based modeling software
70. Matlab, http://www.mathworks.com/
71. J.M. Epstein, J. Artific. Soc. Simul. 11, 12 (2008)
72. S. Laemmer, D. Helbing, JSTAT, P04019 (2008)
73. D. Helbing, S. Laemmer, http://www.patent-de.com/20100805/DE102005023742B4.html 2010
74. D. Helbing, M. Christen, Mit rauschen und reibung gegen finanzielle blasen (submitted) (Wirtschaftswoche, 2010)
75. D. Helbing, A. Deutsch, S Diez, K Peters, Y Kalaidzidis, K. Padberg-Gehle, S. Laemmer, A. Johansson, G. Breier, F. Schulze, M. Zerial, Adv. Compl. Syst. 12, 533 (2009)
76. A. Kesting, M. Treiber, M. Schonhof, D. Helbing, Transport. Res. Part C: Emerg. Technol. 16, 668 (2008)
77. D. Helbing, Chap. Dynamic decision behavior and optimal guidance through information services: Models and experiments, edited by M. Schreckenberg, R. Selten (Springer, Berlin, 2004), pp. 47-95
78. N. Wiener, Cybernetics, Second Edition: or the Control and Communication in the Animal and the Machine (The MIT Press, 1965)
79. B. Fabien, Analytical System Dynamics: Modeling and Simulation (Springer, 2008)
80. S. Skogestad, I. Postlethwaite, Multivariable Feedback Control: Analysis and Design, 2nd edn. (Wiley-Interscience, 2005)
81. A.L. Fradkov, I.V. Miroshnik, V.O. Nikiforov, Nonlinear and Adaptive Control of Complex Systems (Springer, 1999)
82. J.H. Kagel, The Handbook of Experimental Economics (Princeton University Press, 2004)
83. N. Bardsley, R. Cubitt, G. Loomes, P. Moffatt, C. Starmer, R. Sugden, Experimental Economics: Rethinking the Rules (Princeton University Press, Princeton, NJ, 2009)
84. D. Friedman, A. Cassar, Economics Lab: An Intensive Course in Experimental Economics (London and New York: Routledge, 2004)
85. D. Friedman, S. Sunder, Experimental Methods: A Primer for Economists (Cambridge University Press, 1994)
86. F. Guala, The Methodology of Experimental Economics (Cambridge University Press, 2005), http://ideas.repec.org/b/cup/cbooks/9780521618618.html
87. M.J. Salganik, P.S. Dodds, D.J. Watts, Science 311, 854 (2006)
88. M. Szell, S. Thurner, Social Networks 32, 313 (2010)
89. W.S. Bainbridge, Science 317, 472 (2007)
90. N.F. Johnson, et al., Phys. Rev. E 79, 066117 (2009)
91. D.B. Fogel, Evolutionary computation 1: basic algorithms and operators (2000), p. 1
92. D.B. Fogel, Evolutionary computation: toward a new philosophy of machine intelligence (Wiley-IEEE Press, 2006)
93. S. Haykin, Neural networks: a comprehensive foundation (Prentice Hall PTR Upper Saddle River, NJ, USA, 1994)
94. M.T. Hagan, H.B. Demuth, M. Beale, et al., Neural network design (PWS Pub, 1996)
95. C.A. Janeway, et al., Immunobiology: the immune system in health and disease (Churchill Livingstone, 2001)
96. R.M. May, Stability and Complexity in Model Ecosystems (Princeton Landmarks in Biology, Princeton University Press, 2001)
97. R. May, A. McLean, Theoretical Ecology: Principles and Applications, 3rd edn. (Oxford University Press, USA, 2007)
98. D. Helbing, M. Moussaid, Tech. Rep. [arXiv:0807.4006], Comments: For related work see http://www.soms.ethz.ch/2008
99. Helbing, Rev. Mod. Phys. 4, 1067 (2000) (cond-mat/0012229)
100. Why economists failed to predict the financial crisis, http://www.ftpress.com/articles/article.aspx?p=1350507
101. D. Keim, IEEE Trans. Visual. Comp. Graph. 8, 1 (2002)
102. A. Kageyama, N. Ohno, Proc. ISSS-7 (2005), p. 127
103. A. Jacobs, ACM Queue 7, 6 (2009)
104. B. Shneiderman, Visual Languages, IEEE Symposium on 0, 336 (1996)
105. R.M. Pickett, G.G. Grinstein, Proc. IEEE Conf. on Systems, Man and Cybernetics (Piscataway, NJ, 1988), pp. 514-519
106. H. Chernoff, J. Amer. Statistical Association 68, 361 (1973)
107. E.A. Bier, et al., Proc. SIGGRAPH, Anaheim (CA, 1993), p. 7380
108. A. Inselberg, B. Dimsdale, Proc. Visualization (San Francisco, CA, 1990), pp. 361-370
109. G.G. Robertson, J.D. Mackinlay, S.K. Card, Proc. Human Factors in Computing Systems CHI 91 Conf. (New Orleans, LA, 1991), pp. 189-194
110. J. Lamping, R. Rao, P. Pirolli, Proc. Human Factors in Computing Systems Conf. (1995), p. 401408
111. J.J. van Wijk, H. van de Wetering, Proceedings 1999 IEEE Symposium on Information Visualization (1999), p. 7378
112. M. Bruls, K. Huizing, J.J. Van Wijk, Proceedings of Joint Eurographics and IEEE TCVG Symposium on Visualization (IEEE Press, 2000), p. 3342
113. F. Frankel, R. Reid, Nature 455, 30 (2008)
114. Sciencesim, http://www.sciencesim.com
115. S. Bryson, Comm. ACM 39, 5 (1996)
116. J.J. LaViola, et al., Trends in Interactive Visualization, edited by R. Liere, T. Adriaansen, E. Zudilova-Seinstra (Springer, London, 2009), pp. 1-26
117. D. Germans, H. Spoelder, L. Renambot, et al., IPT/EGVE (2001)
118. F. Araki, S. Kawahara, N. Ohno, Chap. Study of Large-Scale Data Visualization (2008), pp. 273-277
119. Vfive: Virtual reality visualization software for cave system, http://www.jamstec.go.jp/esc/research/Perception/vfive.en.html 120. Top 500 supercomputer sites, http://www.top500.org