Insight Grammar Learning
We report on computational experiments in which a learning agent incrementally acquires grammar from a tutoring agent through situated inter-actions. The learner is able to (i) detect impasses in routine language pro-cessing, such as missing a grammatical construction to integrate a word in the rest of the sentence structure, (ii) move to a meta-level to repair these impasses, primarily based on semantics, and (iii) then expand or restructure his grammar using insights gained from repairs. The paper proposes a cog-nitive architecture able to support this kind of insight learning and tests it with a computational implementation for a grammar learning task.
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| Main Authors: | , |
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| Format: | artículo biblioteca |
| Language: | English |
| Published: |
International Association for Cognitive Science
2016
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| Subjects: | Language acquisition, Insight learning, Insight problem solv-ing, Fluid construction grammar, |
| Online Access: | http://hdl.handle.net/10261/151822 |
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