Learning Objectives
Define 'cognitive depth' as a theoretically grounded CL-derived measure of AI linguistic competence
Analyze current LLMs against specific CL criteria for genuine semantic understanding
Apply Searle's Chinese Room argument and CL's embodiment thesis together to AGI research debates
Formulate testable, falsifiable CL-based benchmarks for measuring AI cognitive depth
What CL tells us about what genuine AGI would actually require — and what current systems still profoundly lack.
This lesson builds on the theoretical foundations established earlier in the module and extends your understanding of how cognitive-linguistic principles apply directly to modern AI systems.
Learning Objectives
Define 'cognitive depth' as a theoretically grounded CL-derived measure of AI linguistic competence
Analyze current LLMs against specific CL criteria for genuine semantic understanding
Apply Searle's Chinese Room argument and CL's embodiment thesis together to AGI research debates
Formulate testable, falsifiable CL-based benchmarks for measuring AI cognitive depth
Key Concepts
Define 'cognitive depth' as a theoretically grounded CL-derived measure of AI linguistic competence
Analyze current LLMs against specific CL criteria for genuine semantic understanding
Apply Searle's Chinese Room argument and CL's embodiment thesis together to AGI research debates
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