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20012007
most citedArtificial Neural Networks for Beginners

162 citations · 492 across the 25 of their papers we have counts for

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9 papers · 1 filter

nlin.AO20061 cited

Evolution of Complexity: Introduction to the Workshop

Carlos Gershenson, Tom Lenaerts

The evolution of complexity has been a central theme for Biology and Artificial Life (Bonner, 1988; Bedau et al., 2000). Complexification has been interpreted in different ways: as…

nlin.AO200514 cited

A General Methodology for Designing Self-Organizing Systems

Carlos Gershenson

Our technologies complexify our environments. Thus, new technologies need to deal with more and more complexity. Several efforts have been made to deal with this complexity using t…

nlin.AO200478 cited

How can we think the complex?

Carlos Gershenson, Francis Heylighen

This chapter does not deal with specific tools and techniques for managing complex systems, but proposes some basic concepts that help us to think and speak about complexity. We re…

nlin.AO200321 cited

Phase Transitions in Random Boolean Networks with Different Updating Schemes

Carlos Gershenson

In this paper we study the phase transitions of different types of Random Boolean networks. These differ in their updating scheme: synchronous, semi-synchronous, or asynchronous, a…

nlin.AO20031 cited

Self-organizing Traffic Control: First Results

Carlos Gershenson

We developed a virtual laboratory for traffic control where agents use different strategies in order to self-organize on the road. We present our first results where we compare the…

nlin.AO20034 cited

Contextual Random Boolean Networks

Carlos Gershenson, Jan Broekaert, Diederik Aerts

We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [Gershenson, 2002] as models of contextual deterministic discrete dynamical systems. We show th…