Book Chapter10.1007/3-540-36553-2_6
Biologically inspired evolutionary development
Sanjeev Kumar,Peter J. Bentley +1 more
- 17 Mar 2003
- pp 57-68
TL;DR: The Evolutionary Developmental System is an object-oriented model comprising proteins, genes and cells that permits intricate genomic regulatory networks to form and can evolve spherical embryos constructed from balls of cells.
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Abstract: We describe the combination of a novel, biologically plausible model of development with a genetic algorithm. The Evolutionary Developmental System is an object-oriented model comprising proteins, genes and cells. The system permits intricate genomic regulatory networks to form and can evolve spherical embryos constructed from balls of cells. By attempting to duplicate many of the intricacies of natural development, and through experiments such as the ones outlined here, we anticipate that we will help to discover the key components of development and their potential for computer science.
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Citations
Hardware spiking neural network with run-time reconfigurable connectivity in an autonomous robot
Daniel Roggen,S. Hofmann,Yann Thoma,Dario Floreano +3 more
- 09 Jul 2003
TL;DR: A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented on a compact custom FPGA board, which provides a powerful reconfigured hardware platform for hardware and software design.
Evolving Embodied Genetic Regulatory Network-Driven Control Systems
Tom Quick,Chrystopher L. Nehaniv,Kerstin Dautenhahn,Graham Roberts +3 more
- 14 Sep 2003
TL;DR: It is demonstrated the evolution of simple embodied Genetic Regulatory Networks as real-time control systems for robotic and software-based embodied Artificial Organisms, and results from two experimental test-beds are presented.
90
Multi-cellular development: is there scalability and robustness to gain?
Daniel Roggen,Diego Federici +1 more
- 18 Sep 2004
TL;DR: Analysis of scalability and robustness to phenotypic faults of two developmental systems inspired by Cellular Automata and Artificial Embryogeny shows that, while for direct encoding scalability is limited by the size of the search space, developmental systems performance appears to be related to the amount of regularity that they can extract from the phenotype.
A Gene Network Model for Developing Cell Lineages
Nicholas Geard,Janet Wiles +1 more
TL;DR: A dynamic recurrent gene network (DRGN) model was designed and its ability to control the developmental trajectories of cells during embryogenesis was evaluated, demonstrating the ability of DRGNs to perform the tasks with minimal external input.
References
•Book
Principles of Development
Lewis Wolpert
- 01 Jan 1997
TL;DR: In this paper, the Drosophila body plan was described and the Xenopus and zebrafish were shown to complete the body plan in the early stages of the development of the human embryo.
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