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Usage-based Grammar Learning as Insight Problem Solving

By Emília Garcia Casademont and Luc Steels

Abstract

Trabajo presentado en la EAPCogSci 2015, EuroAsianPacific Joint Conference on Cognitive Science (4th European Conference on Cognitive Science y 11th International Conference on Cognitive Science), celebrada en Turín del 25 al 27 de septiembre de 2015.We report on computational experiments in which a learning agent incrementally acquires grammar from a tutoring agent through situated embodied interactions. The learner is able to detect impasses in routine language processing, such as missing a grammatical construction to integrate a word in the rest of the sentence structure, to move to a meta-level to repair these impasses, primarily based on semantics, and to then expand or restructure his grammar using insights gained from repairs. The paper proposes a cognitive architecture able to support this kind of insight learning and tests it on a grammar learning task.The research reported here has been funded by an ICREA Research fellowship to LS and a Marie Curie Integration Grant EVOLAN. The project has received further funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 308943, which is the FET-OPEN Insight project.Peer reviewe

Topics: Usage-based language learning, Insight problem solving, Fluid Construction Grammar
Year: 2015
DOI identifier: 10.13039/501100003741
OAI identifier: oai:digital.csic.es:10261/127371
Provided by: Digital.CSIC
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