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» Learning Models of Macrobehavior in Complex Adaptive Systems
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WOA
2007
14 years 11 months ago
Expectations driven approach for Situated, Goal-directed Agents
Abstract— Situated agents engaged in open systems continually face with external events requiring adequate services and behavioral responses. In these conditions agents should be...
Michele Piunti, Cristiano Castelfranchi, Rino Falc...
BC
2002
193views more  BC 2002»
14 years 9 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
TNN
2010
234views Management» more  TNN 2010»
14 years 4 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
ACMSE
2006
ACM
15 years 3 months ago
HELLAS: a specialized architecture for interactive deformable object modeling
Applications involving interactive modeling of deformable objects require highly iterative, floating-point intensive numerical simulations. As the complexity of these models incr...
Shrirang M. Yardi, Benjamin Bishop, Thomas P. Kell...
APNOMS
2006
Springer
15 years 1 months ago
"P4L": A Four Layers P2P Model for Optimizing Resources Discovery and Localization
Peer-to-Peer systems are based on the concept of resources localization and mutualization in dynamic context. In specific environment such as mobile networks, characterized by high...
Mourad Amad, Ahmed Meddahi