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AAAI
1994
15 years 7 months ago
Agents that Learn to Explain Themselves
Intelligent artificial agents need to be able to explain and justify their actions. They must therefore understand the rationales for their own actions. This paper describes a tec...
W. Lewis Johnson
PRICAI
2010
Springer
15 years 5 months ago
Towards Artificial Systems: What Can We Learn from Human Perception?
Research in learning algorithms and sensor hardware has led to rapid advances in artificial systems over the past decade. However, their performance continues to fall short of the ...
Heinrich H. Bülthoff, Lewis L. Chuang
ICCV
2009
IEEE
15 years 4 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang
CW
2003
IEEE
15 years 11 months ago
Virtual Experiment Environments Design for Science Education
Virtual reality technology is reported that the use of virtual reality(VR) as an educational tool can increase student interests, understanding and creative learning because of en...
Young-suk Shin
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
16 years 25 days ago
An Interactive 3D Environment for Computer Based Education
Individual learning capabilities can vary from gifted to exceptionally slow; some students may take longer to understand a concept and may not be able to achieve the expected stan...
Gang Wu, Irene Cheng