This chapter explores the concept of trial and error learning in animals and AI systems. It discusses the work of a researcher who studied puzzle-solving in animals and discovered a progressive decline in learning time. The chapter then delves into the history of artificial intelligence and the problem of temporal credit assignment, leading to the introduction of temporal difference learning. Additionally, it discusses the structure of the basal ganglia in fish brains and its connection to reinforcement learning, as well as the evolution of pattern recognition and map building in early vertebrates.

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