Daniel Arndt Alves
Daniel Arndt Alves has a master's degree in electrical engineering from Mackenzie University (2009) and a bachelor's degree in Computer Science from Mackenzie University (2005). He also studied technical building at the Technical School of the Lyceum of Arts and Crafts of São Paulo (1999). He is currently a senior internet security analyst at Mackenzie Presbyterian University and an administrator of the server that currently hosts the web gateway tool and distance learning platform (Moodle). He has experience in computer science with emphasis on programming languages, acting on the following topics: electronic document management, content management systems, digital libraries, artificial intelligence and computer systems.
Starting August 2010, he will work as a professor at The School of Computing and Informatics and as a researcher at the Distance Learning Group of Mackenzie Presbyterian University.
He has been responsible for configuration, installation, deployment and maintenance of Cluster of Research in
Evolutionary Computation and Cellular Automata since June 2004. As of July 2010, this cluster
is formed by 16 machines (master and 15 slaves), running a Wolfram gridMathematica 7.0 Server.
This cluster started with Wolfram gridMathematica 1.0 (running over Mathematica 5.1)
in June 2004. The operating system running to support this application is a Debian GNU/Linux 5.0 (Lenny) AMD64.
Information about the cluster is located at:
Search for Persistent Structures in Rule Code 20 (Two Colors, Next-Nearest Neighbor)
After a few steps, Class 4 systems typically organize themselves to the point where definite structures become visible. NKS discusses structures in these systems and shows some samples of this behavior using the rule code 20 (two colors, next-nearest neighbor). NKS lists all persistent structures found by searching the first 25 billion initial conditions. The goal of this project is to find additional persistent structures in code 20 by searching initial conditions 25 billion through 35 billion.