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20012005
most citedArtificial Neural Networks for Beginners

162 citations · 491 across the 24 of their papers we have counts for

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Showing 2003Show all

9 papers · 1 filter

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…

cs.NE2003162 cited

Artificial Neural Networks for Beginners

Carlos Gershenson

The scope of this teaching package is to make a brief induction to Artificial Neural Networks (ANNs) for people who have no previous knowledge of them. We first make a brief introd…

nlin.CD20035 cited

Introduction to Chaos in Deterministic Systems

Carlos Gershenson

The scope of this teaching package is to make a brief introduction to some notions and properties of chaotic systems. We first make a brief introduction to chaos in general and the…

cs.AI2003

Time-scales, Meaning, and Availability of Information in a Global Brain

Carlos Gershenson, Gottfried Mayer-Kress, Atin Das +2

We note the importance of time-scales, meaning, and availability of information for the emergence of novel information meta-structures at a global scale. We discuss previous work i…

cs.NI20031 cited

Conferences with Internet Web-Casting as Binding Events in a Global Brain: Example Data From Complexity Digest

A. Das, G. Mayer-Kress, C. Gershenson +1

There is likeness of the Internet to human brains which has led to the metaphor of the world-wide computer network as a `Global Brain'. We consider conferences as 'binding events'…