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About Cellular Automata: Based Mostly On Dr. Richard Spillman Class On Alternative Computing in Summer 2000
This document provides an overview of cellular automata including: - Cellular automata consist of an array of simple cells that can be in different states and change states based on the states of neighboring cells. - They have many advantages over standard computing like scalability and robustness. - Cellular automata can be used for applications like image processing, random number generation, and solving NP-complete problems. - Genetic algorithms can be used to search for cellular automata rules that produce targeted behaviors. Work at Santa Fe Institute used a genetic algorithm to try to find rules for a density classification task.
Detailed Information
| Author: | ['yashikabirdi'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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