A digital organism is a self-replicating, mutating, and evolving computer program. Digital organisms are used as a method to research Darwinian evolutionary processes, and to test or validate theoretical theories or mathematical evolutionary models. The study of digital organisms has a close connection to the artificial life area. A digital organism is a computer program which self-replicates, mutates, and evolves. Digital species are used as a tool for studying Darwinian evolutionary processes, and testing or validating theoretical hypotheses or evolutionary mathematical models. The study of digital species has a close connection to the field of artificial life. Researchers at Caltech's Digital Life Laboratory and the Center for Biological Modeling at Michigan State University use Avida, a software program to build their digital creatures. The organisms exist as sequences of computer code which replicates itself. The code defines how the species replicate and how the available resources are utilized: memory and processor cycles.
Awards 2021: Journal of Computer Science & Systems Biology
Awards 2021: 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
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
Accepted Abstracts: Journal of Computer Science & Systems Biology
Accepted Abstracts: Journal of Computer Science & Systems Biology
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report