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A Brief History of Biological and Artificial Intelligence with Max Bennett

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

CHAPTER

Trial and Error: From Cats to AI

This chapter explores the principles of learning through trial and error, rooted in early experiments with cats that led to the law of effects and the importance of reinforcement. It examines the parallels between these learning mechanisms in biological systems and their application in artificial intelligence, particularly focusing on advances like temporal difference learning. Additionally, the discussion highlights the evolutionary emergence of cognitive capabilities across species and contrasts the distinct operational frameworks of biological and artificial intelligence.

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