@unpublished {CxExplicada2019,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@unpublished {SAT2019,
	title = {Evasi{\'o}n en IVA: An{\'a}lisis de redes},
	year = {2019},
	note = {Estudio contratado por el SAT},
	url = {http://omawww.sat.gob.mx/gobmxtransparencia/Paginas/documentos/estudio_opiniones/Evasion_en_IVA_Analisis_de_Redes.pdf},
	author = {Carlos Gershenson and Gerardo I{\~n}iguez and Carlos Pineda and Rita Guerrero and Eduardo Islas and Omar Pineda and Mart{\'\i}n Zumaya}
}
@article {Siqueiros-Garcia2018,
	title = {ALife and Society: Editorial Introduction to the Artificial Life Conference 2016 Special Issue},
	journal = {Artificial Life},
	volume = {24},
	year = {2018},
	pages = {1{\textendash}4},
	publisher = {MIT Press},
	isbn = {1064-5462},
	doi = {10.1162/ARTL_e_00256},
	url = {https://doi.org/10.1162/ARTL_e_00256},
	author = {Siqueiros-Garc{\'\i}a, Jes{\'u}s M. and Froese, Tom and Gershenson, Carlos and Aguilar, Wendy and Sayama, Hiroki and Izquierdo, Eduardo}
}
@article {10.3389/fphy.2018.00045,
	title = {Rank Dynamics of Word Usage at Multiple Scales},
	journal = {Frontiers in Physics},
	volume = {6},
	year = {2018},
	pages = {45},
	abstract = {The recent dramatic increase in online data availability has allowed researchers to explore human culture with unprecedented detail, such as the growth and diversification of language. In particular, it provides statistical tools to explore whether word use is similar across languages, and if so, whether these generic features appear at different scales of language structure. Here we use the Google Books $N$-grams dataset to analyze the temporal evolution of word usage in several languages. We apply measures proposed recently to study rank dynamics, such as the diversity of $N$-grams in a given rank, the probability that an $N$-gram changes rank between successive time intervals, the rank entropy, and the rank complexity. Using different methods, results show that there are generic properties for different languages at different scales, such as a core of words necessary to minimally understand a language. We also propose a null model to explore the relevance of linguistic structure across multiple scales, concluding that $N$-gram statistics cannot be reduced to word statistics. We expect our results to be useful in improving text prediction algorithms, as well as in shedding light on the large-scale features of language use, beyond linguistic and cultural differences across human populations.},
	issn = {2296-424X},
	doi = {10.3389/fphy.2018.00045},
	url = {https://www.frontiersin.org/article/10.3389/fphy.2018.00045},
	author = {Morales, Jos{\'e} A. and Colman, Ewan and S{\'a}nchez, Sergio and S{\'a}nchez-Puig, Fernanda and Pineda, Carlos and I{\~n}iguez, Gerardo and Cocho, Germinal and Flores, Jorge and Gershenson, Carlos}
}
@inbook {GershensonALife2018,
	title = {Self-Organization and Artificial Life: A Review},
	booktitle = {The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE)},
	year = {2018},
	pages = {510{\textendash}517},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Tokyo, Japan},
	abstract = {Self-organization has been an important concept within a number of disciplines, which Artificial Life (ALife) also has heavily utilized since its inception. The term and its implications, however, are often confusing or misinterpreted. In this work, we provide a mini-review of self-organization and its relationship with ALife, aiming at initiating discussions on this important topic with the interested audience. We first articulate some fundamental aspects of self-organization, outline its usage, and review its applications to ALife within its soft, hard, and wet domains. We also provide perspectives for further research.},
	doi = {10.1162/isal_a_00094},
	url = {https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00094},
	author = {Gershenson, Carlos and Trianni, Vito and Werfel, Justin and Sayama, Hiroki},
	editor = {Takashi Ikegami and Nathaniel Virgo and Olaf Witkowski and Mizuki Oka and Reiji Suzuki and Hiroyuki Iizuka}
}
@article {Sanchez2018,
	title = {Trajectory Stability in the Traveling Salesman Problem},
	journal = {Complexity},
	volume = {2018},
	year = {2018},
	pages = {2826082},
	type = {10.1155/2018/2826082},
	abstract = {Two generalizations of the traveling salesman problem in which sites change their position in time are presented. The way the rank of different trajectory lengths changes in time is studied using the rank diversity. We analyze the statistical properties of rank distributions and rank dynamics and give evidence that the shortest and longest trajectories are more predictable and robust to change, that is, more stable.},
	url = {https://doi.org/10.1155/2018/2826082},
	author = {S{\'a}nchez, Sergio and Cocho, Germinal and Flores, Jorge and Gershenson, Carlos and I{\~n}iguez, Gerardo and Pineda, Carlos}
}
@article {Kolokoltsev2017,
	title = {Improving {\textquoteleft}{\textquoteleft}tail{\textquoteright}{\textquoteright} computations in a BOINC-based Desktop Grid},
	journal = {Open Engineering},
	volume = {7},
	number = {1},
	year = {2017},
	month = {December},
	pages = {371-378},
	doi = {doi:10.1515/eng-2017-0044},
	author = {Kolokoltsev, Yevgeniy and Evgeny Ivashko and Carlos Gershenson}
}
@article {Morales2016,
	title = {Generic temporal features of performance rankings in sports and games},
	journal = {EPJ Data Science},
	volume = {5},
	number = {1},
	year = {2016},
	pages = {33},
	abstract = {Many complex phenomena, from trait selection in biological systems to hierarchy formation in social and economic entities, show signs of competition and heterogeneous performance in the temporal evolution of their components, which may eventually lead to stratified structures such as the worldwide wealth distribution. However, it is still unclear whether the road to hierarchical complexity is determined by the particularities of each phenomena, or if there are generic mechanisms of stratification common to many systems. Human sports and games, with their (varied but simple) rules of competition and measures of performance, serve as an ideal test-bed to look for universal features of hierarchy formation. With this goal in mind, we analyse here the behaviour of performance rankings over time of players and teams for several sports and games, and find statistical regularities in the dynamics of ranks. Specifically the rank diversity, a measure of the number of elements occupying a given rank over a length of time, has the same functional form in sports and games as in languages, another system where competition is determined by the use or disuse of grammatical structures. We use a Gaussian random walk model to reproduce the rank diversity of the studied sports and games. We also discuss the relation between rank diversity and the cumulative rank distribution. Our results support the notion that hierarchical phenomena may be driven by the same underlying mechanisms of rank formation, regardless of the nature of their components. Moreover, such regularities can in principle be used to predict lifetimes of rank occupancy, thus increasing our ability to forecast stratification in the presence of competition.},
	issn = {2193-1127},
	doi = {10.1140/epjds/s13688-016-0096-y},
	url = {http://dx.doi.org/10.1140/epjds/s13688-016-0096-y},
	author = {Morales, Jos{\'e} A. and S{\'a}nchez, Sergio and Flores, Jorge and Pineda, Carlos and Gershenson, Carlos and Cocho, Germinal and Zizumbo, Jer{\'o}nimo and Rodr{\'\i}guez, Rosal{\'\i}o F. and I{\~n}iguez, Gerardo}
}
@inbook {ALifeXVIntro,
	title = {Introduction},
	booktitle = {Proceedings of the Artificial Life Conference 2016},
	year = {2016},
	pages = {3{\textendash}9},
	author = {Tom Froese and J. Mario Siqueiros and Wendy Aguilar and Eduardo J. Izquierdo and Hiroki Sayama and Carlos Gershenson}
}
@book {ALifeXV,
	title = {Proceedings of the Artificial Life Conference 2016},
	series = {Complex Adaptive Systems},
	year = {2016},
	month = {July},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Cambridge, MA, USA},
	abstract = {The ALife conferences are the major meeting of the artificial life research community since 1987. For its 15th edition in 2016, it was held in Latin America for the first time, in the Mayan Riviera, Mexico, from July 4 -8. The special them of the conference: How can the synthetic study of living systems contribute to societies: scientifically, technically, and culturally? The goal of the conference theme is to better understand societies with the purpose of using this understanding for a more efficient management and development of social systems.},
	isbn = {9780262339360},
	url = {https://mitpress.mit.edu/books/proceedings-artificial-life-conference-2016},
	editor = {Carlos Gershenson and Tom Froese and Jesus M. Siqueiros and Wendy Aguilar and Eduardo J. Izquierdo and Hiroki Sayama}
}
@inbook {Fernandez_Gershenson_2014,
	title = {Measuring Complexity in an Aquatic Ecosystem},
	booktitle = {Advances in Computational Biology},
	series = {Advances in Intelligent Systems and Computing},
	volume = {232},
	year = {2014},
	pages = {83-89},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We apply formal measures of emergence, self-organization, homeostasis, autopoiesis and complexity to an aquatic ecosystem; in particular to the physiochemical component of an Arctic lake. These measures are based on information theory. Variables with an homogeneous distribution have higher values of emergence, while variables with a more heterogeneous distribution have a higher self-organization. Variables with a high complexity reflect a balance between change (emergence) and regularity/order (self-organization). In addition, homeostasis values coincide with the variation of the winter and summer seasons. Autopoiesis values show a higher degree of independence of biological components over their environment. Our approach shows how the ecological dynamics can be described in terms of information.},
	doi = {10.1007/978-3-319-01568-2_12},
	url = {http://arxiv.org/abs/1305.5413},
	author = {Fern{\'a}ndez, Nelson and Gershenson, Carlos},
	editor = {Castillo, Luis F. and Cristancho, Marco and Isaza, Gustavo and Pinz{\'o}n, Andr{\'e}s and Corchado Rodr{\'\i}guez, Juan Manuel}
}
@conference {Gershenson2004b,
	title = {Updating Schemes in Random {Boolean} Networks: Do They Really Matter?},
	booktitle = {Artificial Life {IX} Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems},
	year = {2004},
	pages = {238{\textendash}243},
	publisher = {MIT Press},
	organization = {MIT Press},
	abstract = {In this paper we try to end the debate concerning the suitability of different updating schemes in random Boolean networks (RBNs). We quantify for the first time loose attractors in asyncrhonous RBNs, which allows us to analyze the complexity reduction related to different updating schemes. We also report that all updating schemes yield very similar critical stability values, meaning that the "edge of chaos" does not depend much on the updating scheme. After discussion, we conclude that synchonous RBNs are justifiable theoretical models of biological networks.},
	url = {http://arxiv.org/abs/nlin.AO/0402006},
	author = {Carlos Gershenson},
	editor = {J. Pollack and M. Bedau and P. Husbands and T. Ikegami and R. A. Watson}
}
