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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 9 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
SIGCSE
2008
ACM
162views Education» more  SIGCSE 2008»
13 years 8 months ago
Automatic extraction of notions from course material
Formally defining the knowledge units taught in a course helps instructors ensure a sound coverage of topics and provides an objective basis for comparing the content of two cours...
Michela Pedroni, Manuel Oriol, Bertrand Meyer, Luk...
IJCINI
2007
110views more  IJCINI 2007»
13 years 8 months ago
Toward Autonomic Computing: Adaptive Neural Network for Trajectory Planning
: The theme of this issue of IJCINI is on cognitive mechanisms of autonomic computing and laws of human cooperative work organization. This editorial addresses key notions of this ...
Amar Ramdane-Cherif
HICSS
1994
IEEE
118views Biometrics» more  HICSS 1994»
14 years 5 days ago
A Distributed Architecture for an Instructable Problem Solver
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
Jacky Baltes, Bruce A. MacDonald
ATAL
2010
Springer
13 years 9 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon