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Evolutionary Insights and AI Learning
This chapter analyzes the evolutionary paths of vertebrates and the role of predator-prey dynamics in accelerating evolution, linking these themes to the development of AI. It discusses the foundational work of Marvin Minsky and Richard Sutton, exploring reinforcement learning's implications and the neurological basis of decision-making across species. Additionally, it examines the complexities of goal-oriented learning in both biological entities and artificial systems, highlighting curiosity and adaptive strategies in navigating challenges.