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ECAI
2010
Springer
14 years 10 months ago
ANTIPA: an agent architecture for intelligent information assistance
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Jean Oh, Felipe Meneguzzi, Katia P. Sycara
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
15 years 3 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
CHI
2010
ACM
15 years 4 months ago
Knowing where and when to look in a time-critical multimodal dual task
Human-computer systems intended for time-critical multitasking need to be designed with an understanding of how humans can coordinate and interleave perceptual, memory, and motor ...
Anthony J. Hornof, Yunfeng Zhang, Tim Halverson
75
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ICML
2010
IEEE
14 years 10 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
AR
2006
86views more  AR 2006»
14 years 9 months ago
Learning for joint attention helped by functional development
Cognitive scientists and developmental psychologists have suggested that development in perceptual, motor and memory functions of human infants as well as adaptive evaluation by ca...
Yukie Nagai, Minoru Asada, Koh Hosoda