Formal and Functional Competence in Large Language Models - A Cognitive Perspective

Explore a comprehensive lecture on the formal and functional competence of large language models from a cognitive perspective. Delve into central fallacies, formal linguistic confidence, and the roadmap of cognitive neuroscience and language processing. Examine the language network, verb agreement tasks, and the nature of large neural networks and language models. Investigate formal language confidence, functional competence, and various linguistic constructions. Analyze syntax and semantic coherence, formal competence, and functional confidence across formal reasoning and world knowledge domains. Consider the implications for targeted benchmarks, modularity, and evaluation methods in the field of artificial intelligence and cognitive science.

Introduction
Question
Central fallacies
Formal linguistic confidence
Roadmap
Cognitive Neuroscience
Language Processing
Language Network
Verb Agreement Task
What are Large Neural Networks
What are Language Models
Formal Language Confidence
Functional Competence
The Key to the Cabinet
The A and M Construction
Syntax Coherence
Semantic Coherence
Formal Competence
Functional Confidence
Formal Reasoning Domain
World Knowledge Domain
Fuzzy Knowledge
Implications
Targeted benchmarks
Modularity
Benchmarks and Evaluation
Benchmarks Evaluation
Summary
Conflict System
Data
Questions