949 search results - page 63 / 190 » Can Doxastic Agents Learn |
85
Voted
ICCBR
2010
Springer
15 years 4 months ago
2010
Springer
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
100
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
135
Voted
AAAI
2006
15 years 2 months ago
2006
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
122
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AAAI
2010
14 years 10 months ago
2010
Search based solvers for Quantified Boolean Formulas (QBF) have adapted the SAT solver techniques of unit propagation and clause learning to prune falsifying assignments. The tech...
144
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CHI
2010
ACM
14 years 9 months ago
2010
ACM
Teaching is inherently a social interaction between teacher and student. Despite this knowledge, many educational tools, such as vocabulary training programs, still model the inte...