The Evolution of Connectionism in AI

This chapter explores the historical development and core concepts of artificial intelligence, with a focus on connectionism and the early work of pioneers like Walter Pitts and Warren McCulloch. It examines the evolution of neural networks, the introduction of learning methodologies, and the significance of algorithms like backpropagation, highlighting the ongoing debate between connectionist and symbolic approaches. Additionally, the chapter discusses the advancements in AI, illustrated by milestones such as AlphaGo, and reflects on the practical implications of integrating knowledge into modern AI systems.