Name Carlos Gershenson | ||
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Books Design and Control of Self-organizing Systems | ||
Carlos gershenson wosc 2014
Carlos Gershenson (born September 29, 1978) is a Mexican researcher at the Universidad Nacional Autónoma de México. His academic interests include self-organizing systems, complexity, and artificial life.
Contents
- Carlos gershenson wosc 2014
- Tedxdf carlos gershenson sem foros auto organizantes
- Biography
- Work
- Self organizing Systems
- Random Boolean Networks
- MOOCs
- ALife 2016
- References
Tedxdf carlos gershenson sem foros auto organizantes
Biography
Gershenson was born September 29, 1978 in Mexico City. He 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 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 was a postdoc with Yaneer Bar-Yam at the New England Complex Systems Institute.
He is a researcher (investigador) at the Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) at the Universidad Nacional Autónoma de México. He was the head the Computer Science Department from 2012 to 2015.
He was also a visiting professor at the Massachusetts Institute of Technology and at Northeastern University during a sabbatical year and has also been editor-in-chief of Complexity Digest since 2009.
Work
The work of Carlos Gershenson has been related to the understanding and popularization of topics of complex systems, in particular, related to Boolean networks, self-organization and traffic control.
Self-organizing Systems
During his PhD, Gershenson proposed heuristics to design and control self-organizing systems. 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. The usefulness of self-organization lies in the fact that it can provide robust adaptation to changes in a system. As particular cases, he studied the problems of traffic light coordination, organization efficiency, and communication protocols.
He has also explored 'self-organizing traffic lights' and also applied self-organization to public transport regulation and other urban systems.
Random Boolean Networks
During his MSc studies, Gershenson proposed a naming convention for random Boolean networks depending on their updating scheme.
He has also studied the effect of redundancy and modularity on random Boolean networks.
MOOCs
Gershenson has been instructor of two Massive Open Online Courses at Coursera, on scientific thought and systemic thought.
ALife 2016
He was co-chair of ALIFE XV, the international Artificial Life conference, held in Cancun, Mexico in 2016.