Scaling, machine learning, and genetic neural nets
Advances in Applied Mathematics
Evolving hardware with genetic learning: a first step towards building a Darwin machine
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
The evolution of evolvability in genetic programming
Advances in genetic programming
Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Digital Image Processing
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Evolving neural networks through augmenting topologies
Evolutionary Computation
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
ER '01 Proceedings of the International Symposium on Evolutionary Robotics From Intelligent Robotics to Artificial Life
Unconstrained Evolution and Hard Consequences
Papers from an international workshop on Towards Evolvable Hardware, The Evolutionary Engineering Approach
Challenges of Evolvable Systems: Analysis and Future Directions
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
An Evolved Circuit, Intrinsic in Silicon, Entwined with Physics
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
A Gate-Level EHW Chip: Implementing GA Operations and Reconfigurable Hardware on a Single LSI
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Shrinking the Genotype: L-systems for EHW?
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Creation of Neural Networks Based on Developmental and Evolutionary Principles
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Scalability Problems of Digital Circuit Evolution: Evolvability and Efficient Designs
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Bidirectional Incremental Evolution in Extrinsic Evolvable Hardware
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Evolutionary Multiobjective Design of Combinational Logic Circuits
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Towards the Automatic Design of More Efficient Digital Circuits
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
ICAL 2003 Proceedings of the eighth international conference on Artificial life
A Taxonomy for artificial embryogeny
Artificial Life
Early Experiments On The Cam-Brain Machine (Cbm)
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
Insufficiency Of Piecewise Evolution
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
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
Developmental Processes in Silicon: An Engineering Perspective
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
Hardware spiking neural network with run-time reconfigurable connectivity in
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
Data Compression
Genetic Programming and Evolvable Machines
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
Hardware Optimization of a Novel Spiking Neuron Model for the POEtic tissue.
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Biologically inspired evolutionary development
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
POEtic tissue: an integrated architecture for bio-inspired hardware
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
A morphogenetic evolutionary system: phylogenesis of the POEtic circuit
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
A biological development model for the design of robust multiplier
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Promises and challenges of evolvable hardware
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
NeuroPipe-Chip: A digital neuro-processor for spiking neural networks
IEEE Transactions on Neural Networks
A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Evolutionary and embryogenic approaches to autonomic systems
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Evolution of cartesian genetic programs capable of learning
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Global shape with morphogen gradients and motile polarized cells
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A survey of evolutionary and embryogenic approaches to autonomic networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Using feedback in a regulatory network computational device
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Using virtual embryogenesis in multi-robot organisms
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
The squares problem and a neutrality analysis with ReNCoDe
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Evolution of cartesian genetic programs for development of learning neural architecture
Evolutionary Computation
The Regulatory Network Computational Device
Genetic Programming and Evolvable Machines
Genetic programming with genetic regulatory networks: genetic programming
Proceedings of the 15th annual conference on Genetic and evolutionary computation
GEARNet: grammatical evolution with artificial regulatory networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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With a gene required for each phenotypic trait, direct genetic encodings may show poor scalability to increasing phenotype length. Developmental systems may alleviate this problem by providing more efficient indirect genotype to phenotype mappings. A novel classification of multi-cellular developmental systems in evolvable hardware is introduced. It shows a category of developmental systems that up to now has rarely been explored. We argue that this category is where most of the benefits of developmental systems lie (e.g. speed, scalability, robustness, inter-cellular and environmental interactions that allow fault-tolerance or adaptivity). This article describes a very simple genetic encoding and developmental system designed for multi-cellular circuits that belongs to this category. We refer to it as the morphogenetic system. The morphogenetic system is inspired by gene expression and cellular differentiation. It focuses on low computational requirements which allows fast execution and a compact hardware implementation. The morphogenetic system shows better scalability compared to a direct genetic encoding in the evolution of structures of differentiated cells, and its dynamics provides fault-tolerance up to high fault rates. It outperforms a direct genetic encoding when evolving spiking neural networks for pattern recognition and robot navigation. The results obtained with the morphogenetic system indicate that this "minimalist" approach to developmental systems merits further study.