@inproceedings{741b292a501a4695aaeeb64c9ce202b0,
title = "Artificial life simulation using marker-based encoding",
abstract = "This paper describes the design of an artificial life simulator. The simulator uses a genetic algorithm to evolve a population of neural networks to solve a presented set of problems. The simulator has been designed to facilitate experimentation in combining different forms of learning (evolutionary algorithms and neural networks). We present results obtained in simulations where the population is evolved to solve certain problems. The simulations are designed to show the population's progress when presented with problems of increasing difficulty using evolutionary algorithms and neural networks both individually and in combination. In mapping the structure of a neural network to an encoding suitable for the genetic algorithm, marker-based encoding is used.",
keywords = "Artificial life, Genetic algorithms, Neural networks, Simulation",
author = "Dara Curran and Colm O'Riordan",
year = "2003",
language = "English",
isbn = "1932415122",
series = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",
pages = "665--668",
editor = "H.R. Arabnia and R. Joshua and Y. Mun and H.R. Arabnia and R. Joshua and Y. Mun",
booktitle = "Proceedings of the International Conference on Artificial Intelligence IC-AI 2003",
note = "Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003 ; Conference date: 23-06-2003 Through 26-06-2003",
}