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CCR
2010
156views more  CCR 2010»
15 years 3 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
157
Voted
AIED
2011
Springer
14 years 7 months ago
Short and Long Term Benefits of Enjoyment and Learning within a Serious Game
Intelligent Tutoring Systems (ITSs) have been used for decades to teach students domain content or strategies. ITSs often struggle to maintain students’ interest and sustain a pr...
G. Tanner Jackson, Kyle B. Dempsey, Danielle S. Mc...
131
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PERCOM
2004
ACM
16 years 3 months ago
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
Dave Snowdon, Jean-Luc Meunier, Martin Mühlen...
128
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IROS
2006
IEEE
135views Robotics» more  IROS 2006»
15 years 9 months ago
Bio-inspired Model of Robot Adaptive Learning and Mapping
- In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to lear...
Alejandra Barrera Ramirez, Alfredo Weitzenfeld Rid...
127
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ROBOCUP
2005
Springer
96views Robotics» more  ROBOCUP 2005»
15 years 9 months ago
Self Task Decomposition for Modular Learning System Through Interpretation of Instruction by Coach
One of the most formidable issues of RL application to real robot tasks is how to find a suitable state space, and this has been much more serious since recent robots tends to hav...
Yasutake Takahashi, Tomoki Nishi, Minoru Asada