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» Adaptive learning in evolving task allocation networks
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ICML
2010
IEEE
13 years 7 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
JAIR
2008
157views more  JAIR 2008»
13 years 6 months ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
CEC
2007
IEEE
14 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
NN
2002
Springer
125views Neural Networks» more  NN 2002»
13 years 6 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
USM
2000
13 years 10 months ago
Integrating Trading and Load Balancing for Efficient Management of Services in Distributed Systems
Due to the requirements of open service markets, the structure of networks and application systems is changing. To handle the evolving complex distributed systems, new concepts for...
Dirk Thißen, Helmut Neukirchen