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GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 10 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
16 years 23 days ago
How morphology affects self-assembly in a stochastic modular robot
Abstract— Self-assembly is a process through which an organized structure can spontaneously form from simple parts. Taking inspiration from biological examples of self-assembly, ...
Shuhei Miyashita, Max Kessler, Marco Lungarella
PPSN
2004
Springer
15 years 11 months ago
Multi-cellular Development: Is There Scalability and Robustness to Gain?
Evolving large phenotypes remains nowadays a problem due to the combinatorial explosion of the search space. Seeking better scalability and inspired by the development of biologica...
Daniel Roggen, Diego Federici
BRAIN
2010
Springer
15 years 3 months ago
Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions
Biologically realistic modeling has been greatly facilitated by the development of neuro-simulators, and the development of simulatorindependent formats for model exchange is the s...
Ralf Ansorg, Lars Schwabe