Evolution of AI Towards Learning-Based Approaches

The chapter explores the historical progression of AI from rule-based systems to neural networks and learning algorithms in the 1980s, emphasizing the shift towards a more neuroscience-influenced approach. It delves into the development of Bolsom machines, validating the Menski-Papper conjecture and leading to the emergence of various learning algorithms. The discussion compares artificial and biological neural networks, highlighting advancements in backpropagation networks and the exponential growth in capabilities post-2012.