@unpublished {CxExplicada2019,
	title = {Complejidad Explicada},
	year = {2019},
	note = {Traducci{\'o}n de {\textquoteleft}{\textquoteleft}Complexity Explained{\textquoteright}{\textquoteright}},
	url = {https://complexityexplained.github.io},
	author = {Valerie C. Valerio Holgu{\'\i}n and Carlos Gershenson and Jos{\'e} Luis Herrera and Johann H. Mart{\'\i}nez and Manuel Rueda Santos and Oliver L{\'o}pez Corona and Guillermo de Anda J{\'a}uregui and Gerardo I{\~n}iguez and Alfredo J. Morales Guzm{\'a}n and Jos{\'e} R. Nicol{\'a}s Carlock}
}
@unpublished {ComplexityExplained,
	title = {Complexity Explained: A Grassroot Collaborative Initiative to Create a Set of Essential Concepts of Complex Systems.},
	year = {2019},
	note = {https://complexityexplained.github.io},
	abstract = {Complexity science, also called complex systems science, studies how a large collection of components {\textendash} locally interacting with each other at small scales {\textendash} can spontaneously self-organize to exhibit non-trivial global structures and behaviors at larger scales, often without external intervention, central authorities or leaders. The properties of the collection may not be understood or predicted from the full knowledge of its constituents alone. Such a collection is called a complex system and it requires new mathematical frameworks and scientific methodologies for its investigation.},
	doi = {10.17605/OSF.IO/TQGNW},
	url = {https://complexityexplained.github.io},
	author = {Manlio De Domenico and Chico Camargo and Carlos Gershenson and Daniel Goldsmith and Sabine Jeschonnek and Lorren Kay and Stefano Nichele and Jos{\'e} Nicol{\'a}s and Thomas Schmickl and Massimo Stella and Josh Brandoff and {\'A}ngel Jos{\'e} Mart{\'\i}nez Salinas and Hiroki Sayama}
}
@article {Gonzalez2019,
	title = {A robustness approach to the distributed management of traffic intersections},
	journal = {Journal of Ambient Intelligence and Humanized Computing},
	year = {2019},
	abstract = {Nowadays, the development of autonomous vehicles has emerged as an approach to considerably improve the traffic management in urban zones. Thanks to automation in vehicles as well as in other sectors, the probability of errors, typically due to repetitive tasks, has been drastically reduced. Therefore, technological aids in current driving systems are aimed to avoid or reduce human errors like imprudences or distractions. According to this, it is possible to tackle complex scenarios such as the automation of the vehicles traffic at intersections, as this is one of the points with the highest probability of accidents. In this sense, the coordination of autonomous vehicles at intersections is a trending topic. In the last few years, several approaches have been proposed using centralized solutions. However, centralized systems for traffic coordination have a limited fault-tolerance. This paper proposes a distributed coordination management system for intersections of autonomous vehicles through the employment of some well-defined rules to be followed by vehicles. To validate our proposal, we have developed different experiments in order to compare our proposal with other centralized approaches. Furthermore, we have incorporated the management of communication faults during the execution in our proposal. This improvement has also been tested in front of centralized or semi-centralized solutions. The introduction of failures in the communication process demonstrates the sensitivity of the system to possible disturbances, providing a satisfactory coordination of vehicles during the intersection. As final result, our proposal is kept with a suitable flow of autonomous vehicles still with a high communication fails rate.},
	isbn = {1868-5145},
	doi = {10.1007/s12652-019-01424-w},
	url = {https://doi.org/10.1007/s12652-019-01424-w},
	author = {Gonz{\'a}lez, Cesar L. and Zapotecatl, Jorge L. and Gershenson, Carlos and Alberola, Juan M. and Julian, Vicente}
}
@article {154,
	title = {Complexity measurement of natural and artificial languages},
	journal = {Complexity},
	volume = {20},
	year = {2015},
	month = {July/August},
	pages = {25{\textendash}48},
	abstract = {We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than text of similar length expressed in natural languages. Spanish texts exhibit more symbolic diversity than English ones. Results showed that algorithms based on complexity measures differentiate artificial from natural languages, and that text analysis based on complexity measures allows the unveiling of important aspects of their nature. We propose specific expressions to examine entropy related aspects of tests and estimate the values of entropy, emergence, self-organization, and complexity based on specific diversity and message length.},
	doi = {10.1002/cplx.21529},
	url = {http://arxiv.org/abs/1311.5427},
	author = {Gerardo Febres and Klaus Jaffe and Carlos Gershenson}
}
