@proceedings {185,
	title = {On two information-theoretic measures of random fuzzy networks},
	volume = {32},
	year = {2020},
	month = {2020/07/27},
	pages = {623{\textendash}625},
	doi = {10.1162/isal_a_00342},
	url = {https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00342},
	author = {Zapata, Octavio and Kim, Hyobin and Gershenson, Carlos}
}
@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 {Pina2016,
	title = {Towards a Standard Sampling Methodology on Online Social Networks: Collecting Global Trends on Twitter},
	journal = {Applied Network Science},
	volume = {1},
	year = {2016},
	pages = {3},
	doi = {10.1007/s41109-016-0004-1},
	url = {http://dx.doi.org/10.1007/s41109-016-0004-1},
	author = {C. A. Pi{\~n}a-Garc{\'\i}a and Carlos Gershenson and J. Mario Siqueiros-Garc{\'\i}a}
}
@article {Cortes2016,
	title = {Traffic Games: Modeling Freeway Traffic with Game Theory},
	journal = {PLOS ONE},
	volume = {11},
	number = {11},
	year = {2016},
	month = {11},
	pages = {1-34},
	publisher = {Public Library of Science},
	abstract = {We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers{\textquoteright} interactions.},
	doi = {10.1371/journal.pone.0165381},
	url = {http://dx.doi.org/10.1371\%2Fjournal.pone.0165381},
	author = {Cort{\'e}s-Berrueco, Luis E. and Gershenson, Carlos and Stephens, Christopher R.}
}
@article {GershensonSOBs,
	title = {Towards Self-organizing Bureaucracies},
	journal = {International Journal of Public Information Systems},
	volume = {2008},
	number = {1},
	year = {2008},
	pages = {1{\textendash}24},
	abstract = {The goal of this paper is to contribute to eGovernment efforts, encouraging the use of self-organization as a method to improve the efficiency and adaptability of bureaucracies and similar social systems. Bureaucracies are described as networks of agents, where the main design principle is to reduce local "friction" to increase local and global "satisfaction". Following this principle, solutions are proposed for improving communication within bureaucracies, sensing public satisfaction, dynamic modification of hierarchies, and contextualization of procedures. Each of these reduces friction between agents (internal or external), increasing the efficiency of bureaucracies. Current technologies can be applied for this end. "Random agent networks" (RANs), novel computational models, are introduced to illustrate the benefits of self-organizing bureaucracies. Simulations show that only few changes are required to reach near-optimal performance, potentially adapting quickly and effectively to shifts in demand.},
	url = {http://www.ijpis.net/issues/no1_2008/no1_2008_p1.htm},
	author = {Carlos Gershenson}
}
@inbook {Gershenson2007-SOS,
	title = {Towards a General Methodology for Designing Self-Organizing Systems},
	booktitle = {Complexity, Science and Society},
	year = {2007},
	publisher = {Radcliffe Publishing},
	organization = {Radcliffe Publishing},
	address = {Oxford},
	author = {Carlos Gershenson},
	editor = {Jan Bogg and Robert Geyer}
}
@article {MarkoEtAl2002,
	title = {Transforming the World Wide Web Into a Complexity-Based Semantic Network},
	journal = {InterJournal of Complex Systems},
	number = {588},
	year = {2002},
	url = {http://uk.arxiv.org/abs/cs.NI/0205080},
	author = {Matus Marko and M. A. Porter and A. Probst and C. Gershenson and A. Das}
}
@conference {GershensonEtAl2000b,
	title = {Thinking Adaptive: Towards a Behaviours Virtual Laboratory},
	booktitle = {{SAB} 2000 Proceedings Supplement},
	year = {2000},
	publisher = {ISAB press},
	organization = {ISAB press},
	address = {Paris, France},
	abstract = {In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new perspective for understanding adaptive behaviour. We present our development of a Behaviours Virtual Laboratory, which at this stage is focused in action selection, and show some experiments to illustrate the properties of our proposal, which can be accessed via Internet.},
	url = {http://uk.arxiv.org/abs/cs/0211028},
	author = {C. Gershenson and P. P. Gonz{\'a}lez and J. Negrete},
	editor = {Jean-Arcady Meyer and Alain Berthoz and Dario Floreano and Herbert L. Roitblat and Stewart W. Wilson}
}
