00370nas a2200109   4500008004100000245006300041210006200104100002300166700001700189700001700206856003700223       2016                        eng d00aAdaptive Cities: A Cybernetic Perspective on Urban Systems0 aAdaptive Cities A Cybernetic Perspective on Urban Systems1 aGershenson, Carlos1 aSanti, Paolo1 aRatti, Carlo  uhttps://arxiv.org/abs/1609.0200001487nas a2200133   4500008004100000245011100041210006900152300001200221490000700233520101500240100002301255700002701278856004801305       2012                        eng d00aAdaptive self-organization vs. static optimization: A qualitative comparison in traffic light coordination0 aAdaptive selforganization vs static optimization A qualitative c  a386-4030 v413 aUsing 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.1 aGershenson, Carlos1 aRosenblueth, David, A.  uhttp://dx.doi.org/10.1108/0368492121122947901031nas a2200097   4500008004100000245010000041210006900141520066100210100002300871856003900894       2002                        eng d00aAdaptive Development of Koncepts in Virtual Animats: Insights Into the Development of Knowledge0 aAdaptive Development of Koncepts in Virtual Animats Insights Int3 aAs 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.1 aGershenson, Carlos  uhttp://uk.arxiv.org/abs/cs/021102701918nas a2200109   4500008004100000245004700041210004700088260003400135520158500169100002301754856003101777       2001                        eng d00aArtificial Societies of Intelligent Agents0 aArtificial Societies of Intelligent Agents  bFundación Arturo Rosenblueth3 aIn 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.1 aGershenson, Carlos  uhttp://cogprints.org/1477/00672nas a2200109   4500008004100000245003400041210003400075260002300109520037700132100002300509856003000532       1997                        eng d00aAplicaciones de la Topología0 aAplicaciones de la Topología  aMonterrey, México3 aEn 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.1 aGershenson, Carlos  uhttp://tinyurl.com/ym5vbz