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Learning: Near Misses and Felicity Conditions in AI
Explore the mechanisms of one-shot learning in AI, focusing on how systems learn from 'near misses' and the 'felicity conditions' that enable effective knowledge acquisition.
Explore the mechanisms of one-shot learning in AI, focusing on how systems learn from 'near misses' and the 'felicity conditions' that enable effective knowledge acquisition.
MIT 6.034 Artificial Intelligence, Fall 2010
To determine whether three blocks form an arch, we use a model which evolves through examples and near misses; this is an example of one-shot learning. We also discuss other aspects of how students learn, and how to package your ideas better.