This chapter presents the experimental framework and research which the authors have pursued to explore the theory and methodology outlined in the preceding chapters. It is deemed essential that language be presented in a full context so that the interhierarchical relationships can be learnt, and can provide cues for intrahierarchical learning. The ideal compromise for this work is a toy world in which the learner can act and be acted upon. It can then learn language in a rich context which avoids the need for the experimenter to laboriously construct semantic sequences to accompany text, and obviates the need for full pattern recognition and robotic dexterity in the prototype.
CITATION STYLE
Powers, D. M. W., & Turk, C. C. R. (1989). Computer Modelling Experiments. In Machine Learning of Natural Language (pp. 327–358). Springer London. https://doi.org/10.1007/978-1-4471-1697-4_14
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