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» Learning to use episodic memory
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ECAI
2004
Springer
15 years 8 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
FLAIRS
2007
15 years 5 months ago
A Generic Memory Module for Events
Intelligent systems need to store their experience so that it can be reused. A memory for such systems needs to efficiently organize and search previous experience and to retriev...
Dan Tecuci, Bruce W. Porter
ICALT
2006
IEEE
15 years 9 months ago
Vicarious Learning and Multimodal Dialogue
Vicarious Learning is learning from watching others learn. We believe that this is a powerful model for computer-based learning. Learning episodes can be captured and replayed to ...
John Lee
AAAI
2010
15 years 4 months ago
An Integrated Systems Approach to Explanation-Based Conceptual Change
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
Scott Friedman, Kenneth D. Forbus
IJCAI
2001
15 years 4 months ago
Generating Tailored Examples to Support Learning via Self-explanation
We describe a framework that helps students learn from examples by generating example problem solutions whose level of detail is tailored to the students' domain knowledge. T...
Cristina Conati, Giuseppe Carenini