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» Measuring the Dynamics of Artificial Evolution
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AMC
2008
99views more  AMC 2008»
13 years 7 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
AICT
2009
IEEE
164views Communications» more  AICT 2009»
14 years 2 months ago
A Method of Admission Control Based on Both Resource Requests and Traffic Measurement and Its Dynamics under On/Off Model Traffi
Abstract: A method of admission control based on both resource requests by applications and class-based traffic measurement results was developed. In this method, a wide range of a...
Yasusi Kanada
ECAL
2005
Springer
14 years 1 months ago
Grammar Structure and the Dynamics of Language Evolution
The complexity, variation, and change of human languages makes evident the importance of representation and learning in the acquisition and evolution of language. For example, anal...
Yoosook Lee, Travis C. Collier, Gregory M. Kobele,...
WRAC
2005
Springer
14 years 1 months ago
Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios
Abstract. This paper introduces a novel framework for designing multiagent systems, called “Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios” (...
Suranga Hettiarachchi, William M. Spears, Derek Gr...
EVOW
2010
Springer
14 years 13 days ago
Evolving Dynamic Trade Execution Strategies Using Grammatical Evolution
Abstract. Although there is a plentiful literature on the use of evolutionary methodologies for the trading of financial assets, little attention has been paid to potential use of...
Wei Cui, Anthony Brabazon, Michael O'Neill