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» Evolving Complex Neural Networks
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ICANN
2010
Springer
14 years 10 months ago
Teaching Humanoids to Imitate 'Shapes' of Movements
Trajectory formation is one of the basic functions of the neuromotor controller. In particular, reaching, avoiding, controlling impacts (hitting), drawing, dancing and imitating ar...
Vishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri,...
COMPLEXITY
2006
91views more  COMPLEXITY 2006»
14 years 12 months ago
The evolution of technology within a simple computer model
Technology--the collection of devices and methods available to human society--evolves by constructing new devices and methods from ones that previously exist, and in turn offering...
W. Brian Arthur, Wolfgang Polak
IJAR
2008
118views more  IJAR 2008»
14 years 12 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
NGC
2000
Springer
15 years 3 months ago
The use of hop-limits to provide survivable ATM group communications
We examine the use of a hop-limit constraint with techniques to provide survivability for connection-oriented ATM group communications. A hop-limit constraint is an approach that ...
William Yurcik, David Tipper, Deep Medhi
BMCBI
2005
97views more  BMCBI 2005»
14 years 11 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney