A Cognitive-Based Approach to Learning Integrated Language Components

The learning component of a cognitive-based language model (LEAP) designed to easily integrate into agent systems is presented. Building on the Interlaced Micro-Patterns (IMP) theory and the Alchemy/Goal Mind environment, the LEAP research improves agent-to-human and agent-to-agent communication by incorporating aspects of human language development within the framework of general cognition. Using a corpus of child through youth fiction, we provide evidence that micro-patterns can be used to simultaneously learn a lexicon, syntax, thematic roles and concepts.