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» Adaptive learning in evolving task allocation networks
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SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 5 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
HCI
2009
13 years 5 months ago
Modeling the Cognitive Task Load and Performance of Naval Operators
Abstract. Operators on naval ships have to act in dynamic, critical and highdemand task environments. For these environments, a cognitive task load (CTL) model has been proposed as...
Mark A. Neerincx, Stefan Kennedie, Marc Grootjen, ...
ECAL
2007
Springer
13 years 11 months ago
Genotype Reuse More Important than Genotype Size in Evolvability of Embodied Neural Networks
odel of Embodiment on Abstract Systems: from Hierarchy to Heterarchy Kohei Nakajima, Soya Shinkai, Takashi Ikegami A Behavior-Based Model of the Hydra, Phylum Cnidaria Malin Aktius...
Chad W. Seys, Randall D. Beer
MIDDLEWARE
2004
Springer
14 years 22 days ago
Mobile adaptive tasks guided by resource contracts
This paper proposes a way to realize the idea of calm computing by adding a dynamic task model into the pervasive computing environment. This task model contains information about...
Peter Rigole, Yolande Berbers, Tom Holvoet