Description
Book SynopsisThis book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.
Trade ReviewThe book is well structured and progresses from describing relatively simple and accessible models using templates much like online forms that are such a familiar part of everyday online life. * David Longman, Teacher, learner, enthusiast. Independent Academic. *
Table of Contents1: The power to narrate 2: Narrative templates 3: Narrative generation from the character's perspective: problem solving 4: A methodology to design a narrative generator based on problem-solving 5: Generating a narrative step by step 6: Narrative generation from the author's perspective: planning 7: Representing the author's experience in planning 8: Weaving texts with patterns: the power of repetition 9: Inspired by the brain: a single neuron 10: Inspired by the brain: deep neural networks 11: MEXICA 12: Endless ways to use computers to study narrative generation (part 1) 13: Endless ways to use computers to study narrative generation (part 2) 14: The story we always wanted to tell you
