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» Learning the required number of agents for complex tasks
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IJHIS
2008
84views more  IJHIS 2008»
13 years 7 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ATAL
2003
Springer
14 years 1 months ago
How to calm hyperactive agents
System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their ind...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
ICWL
2010
Springer
13 years 5 months ago
An Open Model for Learning Path Construction
Learning path construction is a complex task. It involves formulating and organizing learning activities, defining ways to evaluate student learning progress and to match such prog...
Fan Yang, Frederick W. B. Li, Rynson W. H. Lau
AAAI
2012
11 years 10 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
ICICS
2003
Springer
14 years 1 months ago
Secure Route Structures for the Fast Dispatch of Large-Scale Mobile Agents
Abstract. For the application of large-scale mobile agents in a distributed environment, where a large number of computers are connected together to enable the large-scale sharing ...
Yan Wang 0002, Chi-Hung Chi, Tieyan Li