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AIIDE
2008
15 years 5 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel
EDUTAINMENT
2009
Springer
15 years 10 months ago
AdMoVeo: A Robotic Platform for Teaching Creative Programming to Designers
Designing intelligent products, systems and related services require the designers to be able to integrate technology in their designs. Among other skills, programming is the key f...
Sjriek Alers, Jun Hu
106
Voted
WWW
2004
ACM
16 years 4 months ago
Active e-course for constructivist learning
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...
Hai Zhuge, Yanyan Li
AI
1999
Springer
15 years 3 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
AEI
2006
253views more  AEI 2006»
15 years 3 months ago
Computer based pedestrian landscape design using decision tree templates
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
Baranidharan Raman, Jody R. Naderi