TY - JOUR T1 - Anger while driving in Mexico City JF - PLOS ONE Y1 - 2019 A1 - Hernández-Hernández, Ana María A1 - Siqueiros-García, Jesús M. A1 - Robles-Belmont, Eduardo A1 - Gershenson, Carlos AB - This study aims to analyze the level of anger developed by drivers in Mexico City and also understand the behavior that those drivers use to express that anger, using four different survey methods. The first focuses on personal information, the second Driving Anger Expression Inventory (DAX), the third refers to a shorten version of Driving Anger Scale (DAS) and the fourth being the Dula Dangerous Driving Index (DDDI). These have previously been applied and validated in several different countries. The questionnaires were filled out online by 626 drivers. Using the data collected through the online platform, it was possible to identify the kind of reactions volunteers displayed while driving. Also, it was possible to identify that people in Mexico City developed anger depending on their driving area. Our analyses shows that in the Adaptive/Constructive Expression subscale, males and females show a significant difference in their mean score, with women express their anger in a more constructive way than males. PB - Public Library of Science VL - 14 UR - https://doi.org/10.1371/journal.pone.0223048 ER - TY - JOUR T1 - ALife and Society: Editorial Introduction to the Artificial Life Conference 2016 Special Issue JF - Artificial Life Y1 - 2018 A1 - Siqueiros-García, Jesús M. A1 - Froese, Tom A1 - Gershenson, Carlos A1 - Aguilar, Wendy A1 - Sayama, Hiroki A1 - Izquierdo, Eduardo PB - MIT Press VL - 24 SN - 1064-5462 UR - https://doi.org/10.1162/ARTL_e_00256 ER - TY - UNPB T1 - Adaptive Cities: A Cybernetic Perspective on Urban Systems Y1 - 2016 A1 - Carlos Gershenson A1 - Paolo Santi A1 - Carlo Ratti UR - https://arxiv.org/abs/1609.02000 N1 - arXiv preprint 1609.02000 ER - TY - JOUR T1 - Adaptive self-organization vs. static optimization: A qualitative comparison in traffic light coordination JF - Kybernetes Y1 - 2012 A1 - Carlos Gershenson A1 - David A. Rosenblueth AB - Using a recently proposed model of city traffic based on elementary cellular automata, we compare qualitatively two methods for coordinating traffic lights: a \emph{green-wave} method that tries to optimize phases according to expected flows and a \emph{self-organizing} method that adapts to the current traffic conditions. The \emph{self-organizing} method delivers considerable improvements over the \emph{green-wave} method. Seven dynamical regimes and six phase transitions are identified and analyzed for the \emph{self-organizing} method. For low densities, the \emph{self-organizing} method promotes the formation and coordination of platoons that flow freely in four directions, i.e.\ with a maximum velocity and no stops. For medium densities, the method allows a constant usage of the intersections, exploiting their maximum flux capacity. For high densities, the method prevents gridlocks and promotes the formation and coordination of ``free-spaces" that flow in the opposite direction of traffic. VL - 41 UR - http://dx.doi.org/10.1108/03684921211229479 ER - TY - UNPB T1 - Adaptive Development of Koncepts in Virtual Animats: Insights Into the Development of Knowledge Y1 - 2002 A1 - Carlos Gershenson AB - As a part of our effort for studying the evolution and development of cognition, we present results derived from synthetic experimentations in a virtual laboratory where animats develop koncepts adaptively and ground their meaning through action. We introduce the term "koncept" to avoid confusions and ambiguity derived from the wide use of the word "concept". We present the models which our animats use for abstracting koncepts from perceptions, plastically adapt koncepts, and associate koncepts with actions. On a more philosophical vein, we suggest that knowledge is a property of a cognitive system, not an element, and therefore observer-dependent. UR - http://uk.arxiv.org/abs/cs/0211027 N1 - Adaptive Systems Essay, COGS, University of Sussex ER - TY - UNPB T1 - Artificial Societies of Intelligent Agents Y1 - 2001 A1 - Carlos Gershenson AB - In this thesis we present our work, where we developed artificial societies of intelligent agents, in order to understand and simulate adaptive behaviour and social processes. We obtain this in three parallel ways: First, we present a behaviours production system capable of reproducing a high number of properties of adaptive behaviour and of exhibiting emergent lower cognition. Second, we introduce a simple model for social action, obtaining emergent complex social processes from simple interactions of imitation and induction of behaviours in agents. And third, we present our approximation to a behaviours virtual laboratory, integrating our behaviours production system and our social action model in animats. In our behaviours virtual laboratory, the user can perform a wide variety of experiments, allowing him or her to test the properties of our behaviours production system and our social action model, and also to understand adaptive and social behaviour. It can be accessed and downloaded through the Internet. Before presenting our proposals, we make an introduction to artificial intelligence and behaviour-based systems, and also we give notions of complex systems and artificial societies. In the last chapter of the thesis, we present experiments carried out in our behaviours virtual laboratory showing the main properties of our behaviours production system, of our social action model, and of our behaviours virtual laboratory itself. Finally, we discuss about the understanding of adaptive behaviour as a path for understanding cognition and its evolution. PB - Fundación Arturo Rosenblueth UR - http://cogprints.org/1477/ N1 - Unpublished BEng Thesis ER - TY - CONF T1 - Action Selection Properties in a Software Simulated Agent T2 - {MICAI} 2000: Advances in Artificial Intelligence Y1 - 2000 A1 - C. Gershenson A1 - P. P. González A1 - J. Negrete ED - {O. Cairó ED - L. E. Súcar, F.J. Cantú AB - This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for such ends. A brief review of the Internal Behaviour network is followed by the explanation of the implementation of the simulation. Then, experiments are presented and discussed analysing the properties of the action selection in the proposed model. JF - {MICAI} 2000: Advances in Artificial Intelligence T3 - Lecture Notes in Artificial Intelligence PB - Springer, Verlag CY - Acapulco, México VL - 1793 UR - http://uk.arxiv.org/abs/cs.AI/0211039 ER - TY - CONF T1 - Aplicaciones de la Topología T2 - Memorias X Congreso Nacional {ANIEI} Y1 - 1997 A1 - Carlos Gershenson AB - En el presente trabajo se abordan algunas aplicaciones de la Topolog\'ıa en la Computación, como el Juego de la Vida. Se tratan de ampliar los conocimientos actuales sobre estas aplicaciones y sus representaciones gráficas. Se apoya la exposición con un simulador de tiempo c\'ıclico. También se hace una propuesta para definir el Universo como un tiempo c\'ıclico. JF - Memorias X Congreso Nacional {ANIEI} CY - Monterrey, México UR - http://tinyurl.com/ym5vbz ER -