Evolving the Behavior of Machines: From Micro to Macroevolution.
Computer Science
Evolutionary Mechanisms
Software Evolution
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
20 Nov 2020
20 Nov 2020
Historique:
entrez:
23
11
2020
pubmed:
24
11
2020
medline:
24
11
2020
Statut:
epublish
Résumé
Evolution gave rise to creatures that are arguably more sophisticated than the greatest human-designed systems. This feat has inspired computer scientists since the advent of computing and led to optimization tools that can evolve complex neural networks for machines-an approach known as "neuroevolution." After a few successes in designing evolvable representations for high-dimensional artifacts, the field has been recently revitalized by going beyond optimization: to many, the wonder of evolution is less in the perfect optimization of each species than in the creativity of such a simple iterative process, that is, in the diversity of species. This modern view of artificial evolution is moving the field away from microevolution, following a fitness gradient in a niche, to macroevolution, filling many niches with highly different species. It already opened promising applications, like evolving gait repertoires, video game levels for different tastes, and diverse designs for aerodynamic bikes.
Identifiants
pubmed: 33225243
doi: 10.1016/j.isci.2020.101731
pii: S2589-0042(20)30928-7
pmc: PMC7662872
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
101731Informations de copyright
© 2020 The Author(s).
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