Artificial Life is a area of study in which researchers investigate structures similar to natural life, its mechanisms and evolution by using computer model simulations, robotics and biochemistry. Christopher Langton, an American theoretical biologist, founded the discipline in 1986. Langton organized the first field conference in Los Alamos, New Mexico in 1987. There are three key alive forms, named for their approaches: soft from software; hardware; and wet, biochemistry. Researchers in artificial life study traditional biology, trying to recreate aspects of biological phenomena. Artificial life studies the basic processes of living systems in artificial environments to gain a deeper understanding of the complex processing of information which defines these systems. Such subjects are wide-ranging, but often include evolutionary processes, evolving properties of social organisms, biomimicry, as well as related questions about the essence of life philosophy and its use of lifelike properties in artistic works.
Review Article: Journal of Computer Science & Systems Biology
Review Article: Journal of Computer Science & Systems Biology
Editor’s Note: Journal of Computer Science & Systems Biology
Editor’s Note: Journal of Computer Science & Systems Biology
Research Article: Journal of Computer Science & Systems Biology
Research Article: Journal of Computer Science & Systems Biology
Research Article: Journal of Computer Science & Systems Biology
Research Article: Journal of Computer Science & Systems Biology
Research Article: Journal of Computer Science & Systems Biology
Research Article: Journal of Computer Science & Systems Biology
Posters & Accepted Abstracts: Journal of Computer Science & Systems Biology
Posters & Accepted Abstracts: Journal of Computer Science & Systems Biology
Posters & Accepted Abstracts: Journal of Computer Science & Systems Biology
Posters & Accepted Abstracts: Journal of Computer Science & Systems Biology
Posters & Accepted Abstracts: Journal of Computer Science & Systems Biology
Posters & Accepted Abstracts: Journal of Computer Science & Systems Biology
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