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IEEEPACT
2008
IEEE
14 years 2 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
SMC
2007
IEEE
224views Control Systems» more  SMC 2007»
14 years 1 months ago
Complex networks as control paradigm for complex systems
—Rooted in a deep understanding of their major properties, a control paradigm for complex systems is proposed based on latest advances in modeling the dynamics of complex network...
Stefan Grobbelaar, Mihaela Ulieru
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 1 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
CCECE
2006
IEEE
14 years 1 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
ATAL
2005
Springer
14 years 1 months ago
Modeling exceptions via commitment protocols
This paper develops a model for exceptions and an approach for incorporating them in commitment protocols among autonomous agents. Modeling and handling exceptions is critical for...
Ashok U. Mallya, Munindar P. Singh