Insight Grammar Learning
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초록
We report on computational experiments in which a learning agent in-crementally 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.
Abstract
We report on computational experiments in which a learning agent in-crementally 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.
참고문헌 (15)
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