166 citations · 2.1k across the 99 of their papers we have counts for
6 papers · 1 filter
Temporal Heterogeneity Improves Speed and Convergence in Genetic Algorithms
Yoshio Martinez, Katya Rodriguez, Carlos Gershenson
Genetic algorithms have been used in recent decades to solve a broad variety of search problems. These algorithms simulate natural selection to explore a parameter space in search…
Artificial life: sustainable self-replicating systems
Carlos Gershenson, Jitka Cejkova
Nature has found one method of organizing living matter, but maybe other options exist -- not yet discovered -- on how to create life. To study the life "as it could be" is the obj…
Measuring the Complexity of Ultra-Large-Scale Adaptive Systems
Michele Amoretti, Carlos Gershenson
Ultra-large scale (ULS) systems are becoming pervasive. They are inherently complex, which makes their design and control a challenge for traditional methods. Here we propose the d…
Computing Networks: A General Framework to Contrast Neural and Swarm Cognitions
Carlos Gershenson
This paper presents the Computing Networks (CNs) framework. CNs are used to generalize neural and swarm architectures. Artificial neural networks, ant colony optimization, particle…
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…
Neural Net Model for Featured Word Extraction
A. Das, M. Marko, A. Probst +2
Search engines perform the task of retrieving information related to the user-supplied query words. This task has two parts; one is finding "featured words" which describe an artic…