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» Problems of learning in multi-agent systems
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AIED
2009
Springer
14 years 4 months ago
Detecting the Learning Value of Items In a Randomized Problem Set
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
Zachary A. Pardos, Neil T. Heffernan
ABIALS
2008
Springer
13 years 12 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
AI
2006
Springer
14 years 1 months ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa
IADIS
2004
13 years 11 months ago
Problem Based Learning in the Digital Age: A Case Study on Digital Entertainment
While the digital age is based on computing, computing disciplines remain conservative in their curricula and delivery methods. Computer science and information systems curricula ...
Janet Aisbett, Greg Gibbon
WMTE
2006
IEEE
14 years 3 months ago
The Focus Problem in Mobile Learning
Mobile learning has a lot of potential for supporting learning in situations such as in a museum, at a tourist sight or when exploring biological phenomena at a riverside. There l...
Christoph Göth, Dirk Frohberg, Gerhard Schwab...