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ATAL
2010
Springer
15 years 7 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
COGSCI
2008
81views more  COGSCI 2008»
15 years 6 months ago
Working Memory in Wayfinding - A Dual Task Experiment in a Virtual City
This study examines the working memory systems involved in human wayfinding. In the learning phase 24 participants learned two routes in a novel photorealistic virtual environment...
Tobias Meilinger, Markus Knauff, Heinrich H. B&uum...

Book
1636views
17 years 4 months ago
How to Design Programs
One of the best books to learn Scheme and functional programming concepts. The book is freely available online. It is full of examples and exercises suitable for various levels of ...
Matthias Felleisen, Robert Bruce Findler, Matthew ...
ATAL
2006
Springer
15 years 10 months ago
The use of agents in human learning systems
This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to a...
Elizabeth Sklar, Debbie Richards
AAAI
2008
15 years 9 months ago
Spatial Scaffolding for Sociable Robot Learning
Spatial scaffolding is a naturally occurring human teaching behavior, in which teachers use their bodies to spatially structure the learning environment to direct the attention of...
Cynthia Breazeal, Matt Berlin