Computational Evolutionary Embryogeny

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modularity in a Computational Model of Embryogeny

Natural evolution is about searching for adaptations in order to survive in a constantly changing environment. Of course, in nature these adaptations can occur at many levels from the single gene to entire populations of individuals. Adaptation can consist of rapid successful genetic changes, common in many forms of bacteria, to changes in phenotypic behaviour, such as the ability of humans to ...

متن کامل

Simulating Evolution with a Computational Model of Embryogeny

Natural evolution is an incredibly complex dynamical system which we are still grasping to understand. One could argue that the evolutionary search process itself is not the most important part of evolution, but rather it is the evolved representational structures and physical implementations of the genotype-phenotype mappings that make it so powerful. One such behaviour is embryogeny, the proc...

متن کامل

Vector Field Embryogeny

We present a novel approach toward evolving artificial embryogenies, which omits the graph representation of gene regulatory networks and directly shapes the dynamics of a system, i.e., its phase space. We show the feasibility of the approach by evolving cellular differentiation, a basic feature of both biological and artificial development. We demonstrate how a spatial hierarchy formulation ca...

متن کامل

Macromolecular Synthesis during Plant Embryogeny

Substantial changes occur in the rates of RNA synthesis during development of the embryo of Phaseolus at times when there are major shifts in histodifferentiation (16). However, the number of cells in the embryo is also increasing throughout development, and changes in overall rates of

متن کامل

A morphogenesis model for multiagent embryogeny

This paper describes a bio-inspired method that enables the production of artificial multiagent organisms starting from a single agent. This method relies on two complementary computing approaches: (1) mimicking the functioning of segmentation genes and homeotic genes in the development of natural embryos and (2) using techniques from the evolutionary computing and the artificial embryogeny fie...

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

ژورنال

عنوان ژورنال: IEEE Transactions on Evolutionary Computation

سال: 2010

ISSN: 1089-778X,1089-778X,1941-0026

DOI: 10.1109/tevc.2009.2030438