Abstract
sierra is a program that learns procedures incrementally from examples, where an example is a sequence of actions. sierra learns by completing explanations. Whenever the current procedure is inadequate for explaining (parsing) the current example, sierra formulates a new subprocedure whose instantiation completes the explanation (parse tree). The key to sierra's success lies in supplying a small amount of extra information with the examples. Instead of giving it a set of examples, under which conditions correct learning is provably impossible, it is given a sequence of "lessons," where a lesson is a set of examples that is guaranteed to introduce only one subprocedure. This permits unbiased learning, i.e., learning without a priori, heuristic preferences concerning the outcome.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-40 |
| Number of pages | 40 |
| Journal | Artificial Intelligence |
| Volume | 31 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1987 |
| Externally published | Yes |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
- Artificial Intelligence
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