The algorithmic beauty of plants
The algorithmic beauty of plants
Lindenmayer systems, fractals and plants
Lindenmayer systems, fractals and plants
Automatic definition of modular neural networks
Adaptive Behavior
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genome Growth and the Evolution of the Genotype-Phenotype Map
Evolution and Biocomputation, Computational Models of Evolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Theme preservation and the evolution of representation
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Factorial representations to generate arbitrary search distributions
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Evolvability Suppression to Stabilize Far-Sighted Adaptations
Artificial Life
Compact representations as a search strategy: compression EDAs
Theoretical Computer Science - Foundations of genetic algorithms
On hopeful monsters, neutral networks and junk code in evolving L-systems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Genotype reuse more important than genotype size in evolvability of embodied neural networks
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Compact genetic codes as a search strategy of evolutionary processes
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Emergent diversity in an open-ended evolving virtual community
Artificial Life
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A common idea is that complex evolutionary adaptation is enabled by complex genetic representations of phenotypic traits. This paper demonstrates how, according to a recently developed theory, genetic representations can self-adapt in favor of evolvability, i.e., the chance of adaptive mutations. The key for the adaptability of genetic representations is neutrality inherent in non-trivial genotype-phenotype mappings and neutral mutations that allow for transitions between genetic representations of the same phenotype. We model an evolution of artificial plants, encoded by grammar-like genotypes, to demonstrate this theory.