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» Neural Networks and Complexity Theory
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ICANN
2010
Springer
15 years 3 months ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...
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AI50
2006
15 years 8 months ago
What Can AI Get from Neuroscience?
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
Steve M. Potter
GECCO
2000
Springer
15 years 8 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
IJCAI
2007
15 years 5 months ago
Learning to Count by Think Aloud Imitation
Although necessary, learning to discover new solutions is often long and difficult, even for supposedly simple tasks such as counting. On the other hand, learning by imitation pr...
Laurent Orseau
ECAL
2007
Springer
15 years 10 months ago
Spatial Embedding and Complexity: The Small-World Is Not Enough
The “order for free” exhibited by some classes of system has been exploited by natural selection in order to build systems capable of exhibiting complex behaviour. Here we expl...
Christopher L. Buckley, Seth Bullock