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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 3 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
IJDMB
2011
129views more  IJDMB 2011»
14 years 3 months ago
Modelling gene and protein regulatory networks with Answer Set Programming
: Recently, many approaches to model regulatory networks have been proposed in the systems biology domain, however the task is far from being solved. In this paper we propose an an...
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chri...
JBI
2002
14 years 11 months ago
Revising regulatory networks: from expression data to linear causal models
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...
COMPLEXITY
2010
129views more  COMPLEXITY 2010»
14 years 9 months ago
The notion of computation is fundamental to an autonomous neuroscience
The increasing sophistication of the tools and results of cellular and molecular neuroscience would appear to suggest that explanatory force in neuroscience is defined by reductio...
Garrett Neske
AC
1998
Springer
14 years 11 months ago
Cellular Automata Models of Self-Replicating Systems
Abstract: Since von Neumann's seminal work around 1950, computer scientists and others have studied the algorithms needed to support self-replicating systems. Much of this wor...
James A. Reggia, Hui-Hsien Chou, Jason D. Lohn