Carlos Gershenson

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Carlos Gershenson
Born (1978-09-29) 29 September 1978 (age 45)
Mexico City, Mexico
Nationality Mexican
Fields Complex systems, Computer science, Archeology, Linguistics, Semiology
Institutions Universidad Nacional Autónoma de México, Massachusetts Institute of Technology, Northeastern University, ITMO University Free University of Brussels
Doctoral advisor Francis Heylighen, Diederik Aerts, Bart D'Hooghe
Other academic advisors José Negrete Martínez, Inman Harvey, Yaneer Bar-Yam
Doctoral students Luis Enrique Cortés Berrueco, Gustavo Carreón, Jorge Zapotécatl
Known for Research on Self-Organization, Complexity Digest
Influences William Ross Ashby, Francisco Varela, Stuart Kauffman
Notable awards Team Mexico City Audi Urban Future Award 2014, Google Research Award in Latin America 2015
Website
http://turing.iimas.unam.mx/~cgg/

Carlos Gershenson (born 1978-9-29) is a Mexican computer scientist researcher at the Universidad Nacional Autónoma de México. His academic interests include self-organizing systems, complexity, and artificial life.

Biography

Carlos Gershenson was born September 29, 1978 in Mexico City studied a BEng in Computer Engineering at the Arturo Rosenblueth Foundation in Mexico City in 2001 and a MSc in Evolutionary and Adaptive Systems at the University of Sussex. He received his PhD in Sciences at the Centrum Leo Apostel of the Vrije Universiteit Brussel, Belgium in 2007, on "Design and Control of Self-organizing Systems", under the supervision of Francis Heylighen. He did a postdoc with Yaneer Bar-Yam at the New England Complex Systems Institute.

After joining as a researcher at the Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas at the Universidad Nacional Autónoma de México, he also became an associated researcher of the Centro de Ciencias de la Complejidad at the same university. He was the head of the Computer Science Department (2012-2015). He is a Visiting Professor at the Massachusetts Institute of Technology and Visiting Research Professor at Northeastern University. He is chair of a previously self-proclaimed 'dream team' committee organizing the ALIFE 2016 conference [1] where none but a single Mexican speaker was invited thereby segregating all other Mexican researchers in his area leaving them out from any participation. The conference appears to serve as a platform for self-promotion for himself and a group of marketing people around him who may also be benefiting from government resources in the organization of such a conference. In his talks and personal webpage he has purported himself as Professor [2] but his university title is listed as a Researcher [3]

He has also been editor-in-chief of Complexity Digest since 2009 [4]

Work

The academic contributions of Carlos Gershenson have been related to the understanding and control of complex systems, about life and other topics.

Self-organizing Systems

During his PhD, Gershenson proposed a general methodology to design and control self-organizing systems.[5] He noticed that self-organization cannot be judged independently of a context, i.e., it is not so relevant to decide whether a system is or not self-organizing, but when is it useful to do so.[6] The usefulness of self-organization lies in the fact that it can provide robust adaptation to changes in a system. His approach is similar to other models of traffic that are never cited by Gershenson. As particular cases, he studied the problems of traffic light coordination,[7] organization efficiency,[8] and communication protocols.[9]

In recent years, he has extended his work on the study of self-organizing traffic lights[10] and also applied self-organization to public transport regulation[11][12] and other urban systems.[13]

Random Boolean Networks

During his MSc studies, Gershenson proposed a classification of random Boolean networks depending on their updating scheme.[14]

He has also studied the effect of redundancy[15] and modularity[16] on random Boolean networks.

References

  1. ↑ http://xva.life/organizers/
  2. ↑ http://turing.iimas.unam.mx/~cgg/about.html
  3. ↑ http://www.fciencias.unam.mx/directorio/63899
  4. ↑ http://comdig.unam.mx
  5. ↑ Gershenson, C. (2007). Design and Control of Self-organizing Systems. CopIt Arxives, Mexico. http://scifunam.fisica.unam.mx/mir/copit/TS0002EN/TS0002EN.html
  6. ↑ Gershenson, C. and Heylighen, F. (2003). When can we call a system self- organizing? In Banzhaf, W., Christaller, T., Dittrich, P., Kim, J. T., and Ziegler, J., editors, Advances in Artificial Life, 7th European Conference, ECAL 2003 LNAI 2801, pages 606–614, Berlin. Springer. http://arxiv.org/abs/nlin.AO/0303020
  7. ↑ Gershenson, C. (2005). Self-organizing traffic lights. Complex Systems, 16(1):29–53. http://www.complex-systems.com/pdf/16-1-2.pdf
  8. ↑ Gershenson, C. (2008). Towards self-organizing bureaucracies. International Journal of Public Information Systems, 2008(1):1–24. http://www.ijpis.net/ojs/index.php/IJPIS/article/view/51
  9. ↑ Gershenson, C. and Heylighen, F. (2011). Protocol requirements for self- organizing artifacts: Towards an ambient intelligence. In Minai, A., Braha, D., and Bar-Yam, Y., editors, Unifying Themes in Complex Systems, volume V, pages 136–143. Springer, Berlin Heidelberg. http://arxiv.org/abs/nlin.AO/0404004
  10. ↑ Gershenson, C. and Rosenblueth, D. A. (2012). Self-organizing traffic lights at multiple-street intersections. Complexity, 17(4):23–39. http://dx.doi.org/10.1002/cplx.20392
  11. ↑ Gershenson, C. and Pineda, L. A. (2009). Why does public transport not arrive on time? The pervasiveness of equal headway instability. PLoS ONE, 4(10):e7292. http://dx.doi.org/10.1371/journal.pone.0007292
  12. ↑ Gershenson, C. (2011). Self-organization leads to supraoptimal performance in public transportation systems. PLoS ONE, 6(6):e21469. http://dx.doi.org/10.1371/journal.pone.0021469
  13. ↑ Gershenson, C. (2013). Living in living cities. Artificial Life, 19(3 & 4):401–420. http://dx.doi.org/10.1162/ARTL_a_00112
  14. ↑ Classification of random Boolean networks. In Standish, R. K., Bedau, M. A., and Abbass, H. A., editors, Artificial Life VIII: Proceedings of the Eight International Conference on Artificial Life, pages 1–8, Cambridge, MA, USA. MIT Press. http://arxiv.org/abs/cs/0208001
  15. ↑ Gershenson, C., Kauffman, S. A., and Shmulevich, I. (2006). The role of redundancy in the robustness of random Boolean networks. In Rocha, L. M., Yaeger, L. S., Bedau, M. A., Floreano, D., Goldstone, R. L., and Vespignani, A., editors, Artificial Life X, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems., pages 35–42. MIT Press. http://arxiv.org/abs/nlin.AO/0511018
  16. ↑ Poblanno-Balp, R. and Gershenson, C. (2011). Modular random Boolean networks. Artificial Life, 17(4):331–351. http://arxiv.org/abs/1101.1893

External links

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