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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
16 years 8 days ago
Providing information from the environment for growing electronic circuits through polymorphic gates
This paper deals with the evolutionary design of programs (constructors) that are able to create (n+2)-input circuits from n-input circuits. The growing circuits are composed of p...
Michal Bidlo, Lukás Sekanina
GECCO
2005
Springer
166views Optimization» more  GECCO 2005»
16 years 8 days ago
The emulation of social institutions as a method of coevolution
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
Deborah Vakas Duong, John J. Grefenstette
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 8 days ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
16 years 8 days ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 8 days ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar