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» Applications and Environments for Multi-agent Systems
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148
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CI
2005
106views more  CI 2005»
15 years 1 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
CARDIS
2004
Springer
93views Hardware» more  CARDIS 2004»
15 years 7 months ago
On-the-Fly Metadata Stripping for Embedded Java Operating Systems
Considering the typical amount of memory available on a smart card, it is essential to minimize the size of the runtime environment to leave as much memory as possible to applicati...
Christophe Rippert, Damien Deville
117
Voted
SIGMETRICS
2002
ACM
105views Hardware» more  SIGMETRICS 2002»
15 years 1 months ago
Modeling and analysis of dynamic coscheduling in parallel and distributed environments
Scheduling in large-scale parallel systems has been and continues to be an important and challenging research problem. Several key factors, including the increasing use of off-the...
Mark S. Squillante, Yanyong Zhang, Anand Sivasubra...
IV
2006
IEEE
136views Visualization» more  IV 2006»
15 years 7 months ago
Dynamic Visualization and Navigation of Semantic Virtual Environments
Although Information Visualization claims to provide the means to induce mental models of any kind of data, the visualization of semantic information is still an open field of re...
Katja Einsfeld, Stefan Agne, Matthias Deller, Achi...
135
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NPC
2005
Springer
15 years 7 months ago
A Performance-Based Parallel Loop Self-scheduling on Grid Computing Environments
Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments. In thi...
Wen-Chung Shih, Chao-Tung Yang, Shian-Shyong Tseng