Principles of digital design
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
The Emergence of Cellular Computing
Computer
Building Complex Systems Using Developmental Process: An Engineering Approach
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Towards Development in Evolvable Hardware
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Bias and scalability in evolutionary development
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Development Brings Scalability to Hardware Evolution
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Cellular Automata
Evolutionary Design of Arbitrarily Large Sorting Networks Using Development
Genetic Programming and Evolvable Machines
Towards Development on a Silicon-based Cellular Computing Machine
Natural Computing: an international journal
Generating large-scale neural networks through discovering geometric regularities
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Achieving a simple development model for 3D shapes: are chemicals necessary?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Self-modifying cartesian genetic programming
Proceedings of the 9th annual conference on Genetic and evolutionary computation
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
VLSI implementations of threshold logic-a comprehensive survey
IEEE Transactions on Neural Networks
Discovery and Investigation of Inherent Scalability in Developmental Genomes
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Investigating the effect of regulatory decisions in a development model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Metamorphosis and artificial development: an abstract approach to functionality
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Challenges of evolvable hardware: past, present and the path to a promising future
Genetic Programming and Evolvable Machines
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Developmental systems have inherent properties favourable for scaling. The possibility to generate very large scale structures combined with gene regulation opens for systems where the genome size do not reflect the size and complexity of the phenotype. Despite the presence of scalability in nature there is limited knowledge of what makes a developmental mapping scalable. As such, there is few artificial system that show true scaling. Scaling for any system, biological or artificial, is a question of resources. Toward an understanding of the challenges of scalability the issue of scaling is investigated in an aspect of resources within the developmental model itself. The resources are decompositioned into domains that can be scaled separately each may influence on the outcome of development. Knowledge of the domains influence on scaling provide insight in scaling limitation and what target problems that can be scaled. The resources are decompositioned into three domains; Phenotypic, Developmental and Computational (PDC). The domains are placed along three axes in a PDC-space. To illustrate the principles of scaling in a PDC-space an experimental approach is taken.