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» A New Way to Introduce Knowledge into Reinforcement Learning
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AAAI
2007
15 years 2 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
ECAL
2005
Springer
15 years 5 months ago
A Self-organising, Self-adaptable Cellular System
Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...
Lucien Epiney, Mariusz Nowostawski
CE
2007
121views more  CE 2007»
14 years 11 months ago
Transition from traditional to ICT-enhanced learning environments in undergraduate chemistry courses
This paper describes a three-year study conducted among chemistry instructors (professors and teaching assistants) at a post-secondary institution. The goal was to explore the int...
Miri Barak
WWW
2004
ACM
16 years 15 days ago
Authoring of learning styles in adaptive hypermedia: problems and solutions
Learning styles, as well as the best ways of responding with corresponding instructional strategies, have been intensively studied in the classical educational (classroom) setting...
Natalia Stash, Alexandra I. Cristea, Paul De Bra
GIS
1992
ACM
15 years 3 months ago
Using Orientation Information for Qualitative Spatial Reasoning
A new approach to representing qualitative spatial knowledge and to spatial reasoning is presented. This approach is motivated by cognitive considerations and is based on relative ...
Christian Freksa