Developmental mappings and phenotypic complexity

نویسندگان

  • Per Kristian Lehre
  • Pauline C. Haddow
چکیده

The effect of phenotypic complexity on distance correlation plots is investigated for two developmental mappings, a mapping based on L-systems, and a 2D cellular automata mapping. Our treatment of complexity is based on the theory of Kolmogorov complexity. A new genotype sampling algorithm called Crossection Walk is introduced.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Complexity and Geometry in Artificial Development

Evolutionary algorithms and other biologically-inspired problem-solving techniques have been applied successfully in a wide range of domains. However, the theoretical understanding of such techniques is only at an early stage. Much theoretical research is needed to understand when and how these techniques work, how they should be applied and to which applications they are most suited. The work ...

متن کامل

Evolvability, Complexity and Scalability of Cellular Evolutionary and Developmental Systems

Man-made systems, such as supercomputers and software, IT-infrastructures and networks of any kind, are continuously growing in size and complexity. As conventional top-down engineering techniques may have reached the limit of applicability, biological organisms have been able to evolve increasing levels of complexity. Such inherent biological complexity may be said to be open ended or unbounde...

متن کامل

A strong local dependency of developmental bias orients adaptive evolution in a model evo-devo system

The differential production of phenotypes, that is, developmental bias, has been presumed to have a strong influence on the direction of evolutionary modification. In a computational evo-devo system generating neural connectivity, we demonstrate an orienting role for developmental bias during adaptive evolution. The differences in phenotypic transitions taken during evolution are, to a large de...

متن کامل

Bipartite Networks Show the Genotype-to-Phenotype Relationship in Biological Systems Models: A Study of the Robustness, Evolvability, and Accessibility in Linear Cellular Automata

In biological organisms, a single genotype may map to several phenotypes and vice-versa. This many-to-many relationship is believed to be a major drive of the phenotypic robustness and genotypic evolvability found in all life forms. Given the inherent complexity of the genotype-to-phenotype (G2P) mappings, we use cellular automata (CAs) as rudimentary proxies for biological organisms. CA models...

متن کامل

A generative bias towards average complexity in artificial cell lineages.

The evolution of life on earth has been characterized by generalized long-term increases in phenotypic complexity. Although natural selection is a plausible cause for these trends, one alternative hypothesis--generative bias--has been proposed repeatedly based on theoretical considerations. Here, we introduce a computational model of a developmental system and use it to test the hypothesis that...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003