AI Storytelling Bibliography

Notes:

AI storytelling, also known as computational storytelling, is the use of artificial intelligence (AI) technologies to automatically generate stories or narratives. AI storytelling is a subfield of natural language generation (NLG), which is the study of how computers can produce human-like text. NLG systems use algorithms and other techniques to analyze data and information, and to generate text that describes the data and information in a clear and concise manner.

AI storytelling has a number of potential applications, depending on the specific goals and objectives of the project. Some potential uses of AI storytelling include:

Content creation: AI storytelling can be used to automatically generate stories or narratives based on data and information that is provided to the system. This can be useful for a variety of purposes, such as generating content for websites, blogs, or social media, or for creating engaging and informative narratives that can be used in marketing, advertising, or education.
Personalization: AI storytelling can be used to personalize stories or narratives based on the specific interests, preferences, or characteristics of the user. By using AI technologies, stories can be tailored to the individual user, making them more relevant, engaging, and enjoyable for the user.
Interactive experiences: AI storytelling can be used to create interactive experiences, such as games, virtual reality experiences, or chatbots, that allow the user to engage with the story in real time. By using AI technologies, stories can be dynamic and adapt to the user’s actions and decisions, creating a more immersive and engaging experience.

Resources:

expressive-systems.org .. history of expressive systems workshop series

Wikipedia:

Structuralism