Providing a Multi-Agent Computational Laboratory for Language Acquisition Experiments

David Ph. Shakouri

Keywords: multiagent systems, modelling language acquisition, knowledge acquisition, statistical natural language processing, rule learning, language acquisition, graph theory for NLP, machine learning, logic-based artificial intelligence (AI), language models, syntactic categories, function and content words, agglomerative hierarchical clustering (AHC), cluster analysis, clustering

TL;DR: This contribution presents experiments with a multi-agent system of two language models, an adult and a child agent, offering a novel approach to simulating computational language acquisition with transparent and discrete grammatical representations.

Submission Number: 36