Knowledge-Based Language Model Learns Grammar in Multi-Agent Simulation

This research explores a novel approach to language acquisition by leveraging a knowledge-based language model within a multi-agent simulation environment. The paper's contribution lies in demonstrating how agents can deduce grammatical knowledge through interaction and data analysis.

• •The model utilizes a knowledge-based approach to language understanding and generation.
• •The research employs a multi-agent simulation to model language acquisition.
• •The study focuses on how agents can deduce grammatical rules.