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» Evolving Artificial Neural Networks that Develop in Time
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CEC
2005
IEEE
15 years 5 months ago
XCS with computed prediction for the learning of Boolean functions
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
ICES
2003
Springer
108views Hardware» more  ICES 2003»
15 years 5 months ago
A Morphogenetic Evolutionary System: Phylogenesis of the POEtic Circuit
Abstract. This paper describes a new evolutionary mechanism developed specifically for cellular circuits. Called morphogenetic system, it is inspired by the mechanisms of gene exp...
Daniel Roggen, Dario Floreano, Claudio Mattiussi
IFIP
1994
Springer
15 years 3 months ago
Trends in Environmental Information Processing
In recent years, systems for processing environmental information have been evolving from research and development systems to practical applications. Today, many of these systems ...
Franz Josef Radermacher, Wolf-Fritz Riekert, Bernd...
CEC
2007
IEEE
15 years 6 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers
ASP
2005
Springer
15 years 5 months ago
An Interactive Approach to Answer Set Programming
This paper outlines a novel approach to the computation of answer sets in an evolving and interactive environment. Instead of recomputing the semantics of the entire program, our a...
Martin Brain, Richard Watson, Marina De Vos