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Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI

Lex Fridman Podcast

CHAPTER

Understanding Causal Reasoning

This chapter explores the intricacies of causal reasoning, focusing on distinguishing between observed effects and true causal relationships. It emphasizes the importance of counterfactual reasoning and the challenges of constructing causal models to analyze interventions. The discussion reflects on the implications of these concepts for fields like economics and artificial intelligence, highlighting how humans and machines might differ in their approach to understanding causality.

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