Automatic Story Generation Techniques: A Review

Abstract

Computational storytelling research involves understanding, representing, and creating stories. For us to be able to teach machines to compose their stories we have to know how humans tell stories. With this information, computer scientists are now able to simulate the human brain. Computer-generated narratives are useful to psychologists for the study of human cognition. Every narrative has a plot that details the events that took place and the reasons that caused them. The people who act out the tale or are affected by them are called story characters. The main character, who is usually the only one in short stories, plays a significant role in most of the storyline, events, and cause-and-effect relationships between them. In this paper various generative artificial intelligence-based methods are reviewed in terms of certain parameters for the automatic story generation.