Inspired by the brain

Abstract In the 1980s and 1890s, a typical neural network comprised hundreds of elements organized in layers. Nowadays, deep neural networks (DNN) interconnect millions of those artificial neurons. This chapter introduces DNNs. Its objective is to discuss the basic concepts behind DNNs, such as parallel distributed system, training, learning, and transformers, as well as to illustrate how these concepts are used to generate texts. We describe how to design a narrative generator employing this approach. The chapter ends with a summary of some automatic storytellers based on DNNs like GPT-3, some thoughts about the neural-symbolic systems, and a reflection on this approach to narrative generation.