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1
Introduction
2
Question
3
Central fallacies
4
Formal linguistic confidence
5
Roadmap
6
Cognitive Neuroscience
7
Language Processing
8
Language Network
9
Verb Agreement Task
10
What are Large Neural Networks
11
What are Language Models
12
Formal Language Confidence
13
Functional Competence
14
The Key to the Cabinet
15
The A and M Construction
16
Syntax Coherence
17
Semantic Coherence
18
Formal Competence
19
Functional Confidence
20
Formal Reasoning Domain
21
World Knowledge Domain
22
Fuzzy Knowledge
23
Implications
24
Targeted benchmarks
25
Modularity
26
Benchmarks and Evaluation
27
Benchmarks Evaluation
28
Summary
29
Conflict System
30
Data
31
Questions
Description:
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.

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

Santa Fe Institute
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