166 citations · 2.1k across the 99 of their papers we have counts for
38 papers · 1 filter
Temporal, structural, and functional heterogeneities extend criticality and antifragility in random Boolean networks
Amahury Jafet López-Díaz, Fernanda Sánchez-Puig, Carlos Gershenson
Most models of complex systems have been homogeneous, i.e., all elements have the same properties (spatial, temporal, structural, functional). However, most natural systems are het…
Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-class Classification with a Convolutional Neural Network
Hyobin Kim, Stalin Muñoz, Pamela Osuna +1
Robustness and evolvability are essential properties to the evolution of biological networks. To determine if a biological network is robust and/or evolvable, it is required to com…
Self-Organization and Artificial Life
Carlos Gershenson, Vito Trianni, Justin Werfel +1
Self-organization can be broadly defined as the ability of a system to display ordered spatio-temporal patterns solely as the result of the interactions among the system components…
A Multilayer Structure Facilitates the Production of Antifragile Systems in Boolean Network Models
Hyobin Kim, Omar K. Pineda, Carlos Gershenson
Antifragility is a property from which systems are able to resist stress and furthermore benefit from it. Even though antifragile dynamics is found in various real-world complex sy…
A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
Omar K. Pineda, Hyobin Kim, Carlos Gershenson
Antifragility is a property that enhances the capability of a system in response to external perturbations. Although the concept has been applied in many areas, a practical measure…
Self-Organization and Artificial Life: A Review
Carlos Gershenson, Vito Trianni, Justin Werfel +1
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 implic…
Trajectory stability in the traveling salesman problem
Sergio Sánchez, Germinal Cocho, Jorge Flores +3
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 i…
Self-organized UAV Traffic in Realistic Environments
Csaba Virágh, Máté Nagy, Carlos Gershenson +1
We investigated different dense multirotor UAV traffic simulation scenarios in open 2D and 3D space, under realistic environments with the presence of sensor noise, communication d…
Cybernetic Cities: Designing and controlling adaptive and robust urban systems
Carlos Gershenson, Paolo Santi, Carlo Ratti
Cities are changing constantly. All urban systems face different conditions from day to day. Even when averaged regularities can be found, urban systems will be more efficient if t…
Improving Urban Mobility by Understanding its Complexity
Carlos Gershenson
Urban mobility systems are composed multiple elements with strong interactions, i.e. their future is co-determined by the state of other elements. Thus, studying components in isol…
Measuring the Complexity of Continuous Distributions
Guillermo Santamaría-Bonfil, Nelson Fernández, Carlos Gershenson
We extend previously proposed measures of complexity, emergence, and self-organization to continuous distributions using differential entropy. This allows us to calculate the compl…
When slower is faster
Carlos Gershenson, Dirk Helbing
The slower is faster (SIF) effect occurs when a system performs worse as its components try to do better. Thus, a moderate individual efficiency actually leads to a better systemic…
Requisite Variety, Autopoiesis, and Self-organization
Carlos Gershenson
Ashby's law of requisite variety states that a controller must have at least as much variety (complexity) as the controlled. Maturana and Varela proposed autopoiesis (self-producti…
Measuring the Complexity of Self-organizing Traffic Lights
Dario Zubillaga, Geovany Cruz, Luis Daniel Aguilar +5
We apply measures of complexity, emergence and self-organization to an abstract city traffic model for comparing a traditional traffic coordination method with a self-organizing me…
The Past, Present and Future of Cybernetics and Systems Research
Carlos Gershenson, Peter Csermely, Peter Erdi +2
Cybernetics and Systems Research (CSR) were developed in the mid-twentieth century, offering the possibility of describing and comparing different phenomena using the same language…
Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis
Nelson Fernandez, Carlos Maldonado, Carlos Gershenson
This chapter reviews measures of emergence, self-organization, complexity, homeostasis, and autopoiesis based on information theory. These measures are derived from proposed axioms…
Facing Complexity: Prediction vs. Adaptation
Carlos Gershenson
One of the presuppositions of science since the times of Galileo, Newton, Laplace, and Descartes has been the predictability of the world. This idea has strongly influenced scienti…
Living in Living Cities
Carlos Gershenson
This paper presents an overview of current and potential applications of living technology to some urban problems. Living technology can be described as technology that exhibits th…
The Implications of Interactions for Science and Philosophy
Carlos Gershenson
Reductionism has dominated science and philosophy for centuries. Complexity has recently shown that interactions---which reductionism neglects---are relevant for understanding phen…
Self-organizing traffic lights at multiple-street intersections
Carlos Gershenson, David A. Rosenblueth
Summary: Traffic light coordination is a complex problem. In this paper, we extend previous work on an abstract model of city traffic to allow for multiple street intersections. We…
Guiding the Self-organization of Random Boolean Networks
Carlos Gershenson
Random Boolean networks (RBNs) are models of genetic regulatory networks. It is useful to describe RBNs as self-organizing systems to study how changes in the nodes and connections…
Complexity
Carlos Gershenson
There is no single definition of complexity (Edmonds 1999; Gershenson 2008; Mitchell 2009; De Domenico, et al., 2019), as it acquires different meanings in different contexts. A ge…
Self-organizing urban transportation systems
Carlos Gershenson
Urban transportation is a complex phenomenon. Since many agents are constantly interacting in parallel, it is difficult to predict the future state of a transportation system. Beca…
Self-organizing traffic lights: A realistic simulation
Seung-Bae Cools, Carlos Gershenson, Bart D'Hooghe
We have previously shown in an abstract simulation (Gershenson, 2005) that self-organizing traffic lights can improve greatly traffic flow for any density. In this paper, we extend…