[74] Helbing, D., L¨ ammer, S., and Lebacque, J.-P. (2005) Self-organized control of irregular or perturbed network traffic. Deissenberg, C. and Hartl, R. F. (eds.), Optimal Control and Dynamic Games , pp. 239–274, Springer. [75] Helbing, D. and Mazloumian, A. (2009) Operation regimes and slower-is-faster effect in the controlof traffic intersections. The European Physical Journal B - Condensed Matter and Complex Systems , 70 , 257–274. [76] Helbing, D. (2011) FuturICT - new science and technology to manage our complex, strongly connected world, arXiv:1108.6131. [77] Helbing, D., Farkas, I., and Vicsek, T. (2000) Simulating dynamical features of escape panic. Nature , 407 , 487–490. [79] Hofmeyr, S. A. and Forrest, S. (1999) Immunity by design: An artificial immune system. Proceedings of the Genetic and Evolutionary Computation Conference , vol. 2, pp. 1289–1296. [80] Holland, J. H. (1975) Adaptation in natural and artificial systems . The University of Michigan Press. [81] Holland, J. H. (1995) Hidden Order: How Adaptation Builds Complexity . Helix books, Addison-Wesley. [82] Intuit (2010) Intuit 2020 report. [83] Jen, E. (ed.) (2005) Robust Design: A Repertoire of Biological, Ecological, and Engi- neering Case Studies . Santa Fe Institute Studies on the Sciences of Complexity, Oxford University Press. 34 [78] Heylighen, F., Cilliers, P., and Gershenson, C. (2007) Complexity and philosophy. Bogg, J. and Geyer, R. (eds.), Complexity, Science and Society , Radcliffe Publishing.