A Planning-Based Approach for Generating Narrative Events in Video Games

Author: 
Date created: 
2017-10-11
Identifier: 
etd10440
Keywords: 
Interactive Narrative
Generative Narrative
Computer Planning
Video Game
Artificial Intelligence
Abstract: 

This project is an attempt to find a solution for the replayability problem in video games from a narrative perspective. The project's goal is to improve replayability in narrative-focused video games by providing variations in the narrative experience. The outcome of this project is a game prototype that takes the form of a detective adventure game, in which the player needs to find the murderer. This game prototype uses a combination of scripted narrative and generative narrative with computational approaches. The generative narrative part uses a probability-based random event scheduler combined with STRIPS planning to generate narrative components in order to provide variety in narrative. The outcome of this project is a first step to revealing the possibilities of building narrative-focused games with some generative narrative aspects to enhance variety in narrative and thus enhance replayability.

Document type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Senior supervisor: 
Jim Bizzocchi
Department: 
Communication, Art & Technology: School of Interactive Arts and Technology
Thesis type: 
(Thesis) M.Sc.
Statistics: