Visualization of the development of multicellular structures
Visualization of the development of multicellular structures
Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Shrinking the Genotype: L-systems for EHW?
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Integrating Lineage and Interaction for the Visualization of Cellular Stuctures
Selected papers from the 5th International Workshop on Graph Gramars and Their Application to Computer Science
From Here To There: Future Robust Ehw Technologies For Large Digital Designs
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Towards Development on a Silicon-based Cellular Computing Machine
Natural Computing: an international journal
Building knowledge into developmental rules for circuit design
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Developmental effects on tuneable fitness landscapes
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
| Hi-index | 0.00 |
Biological development is a stunning mechanism that allows robust generation of complex structures from a linear building plan. This makes it an interesting source of inspiration for solving problems where direct manipulation of a higher-order structure is hard, and the generative building plan can be used as a substitute for indirect manipulation of the unfolded structure. In this paper we propose CA-DEV as a simple computational model for development of rules for non-uniform 2D cellular automata. While being a simplified version of more complex bio-inspired models, CA-DEV incorporates both lineage and induction, and is easily combined with artificial evolution through a binary genotype. We report an umber of basic experiments in evolving genotypes for CADEV with different settings related to cell division and induction. These experiments show that while the power to introduce diversity is high with most settings, structural properties of developed phenotypes are of adifferen t nature depending on the properties of the development adopted.