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Carlos Gershenson
Arxiv:Nlin/0610040V2 [Nlin.AO] 27 Nov 2012
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Comments to “Investigations” by Stuart Kauffman
2005-Gershenson-1.Pdf
From Ephemeralization and Stigmergy to the Global Brain
Information Measures of Complexity, Emergence, Self-Organization, Homeostasis, and Autopoiesis
Requisite Variety, Autopoiesis, and Self-Organization
Self-Organization and Artificial Life
A General Methodology for Designing Self-Organizing Systems · 3
THE PURSUIT of LEGIBLE POLICY: Agency and Participation in the Complex Systems of the Contemporary Megalopolis
Entropy Methods in Guided Self-Organisation
Self-Organizing Traffic Lights
Unifying Themes in Complex Systems
Carlos Gershenson García
The Past, Present, and Future of Artificial Life
Arxiv:Nlin.AO/0505009 V1 3 May 2005 a General Methodology For
Arxiv:Nlin.AO/0411066 V1 30 Nov 2004
How Can We Think the Complex?
Top View
An Approach for the Development of Complex Systems Archetypes
Improving Urban Mobility by Understanding Its Complexity Carlos Gershenson
The Meaning of Self-Organization in Computing", IEEE Intelligent Systems, Section Trends & Controversies - Self-Organization and Information Systems, May/June 2003
Improving Urban Mobility by Understanding Its Complexity Carlos Gershenson
Requisite Variety, Autopoiesis, and Self-‐Organization
Measuring the Complexity of Self-Organizing Traffic Lights
When Can We Call a System Self-Organizing?
The Sigma Profile
Antifragility Predicts the Robustness and Evolvability of Biological Networks Through Multi-Class Classification with a Convolutional Neural Network
Emergence in Artificial Life
Design and Control of Self-Organizing Systems
How Can We Think the Complex?
Design and Control of Self-Organizing Systems Carlos Gershenson