DIGMA: A role-playing game with agent plan reformulation and situational reassessment

• Main Authors: De Guzman, Deryk Ysidore S., Dellosa, Stephen N., Inventado, Paul Salvador B., Lao, Paul Elton T.
• Format: text
• Language: English
• Published: Animo Repository 2005
• Subjects: Computer games > Programming,; Computer algorithms; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14215
• Institution: De La Salle University

Artificial intelligence (AI) has been used in various game genres such as strategy, adventure, and role-playing. Though it is widely used, there are still many issues that have yet to be addressed. Among these issues are the need for detection and handling of changes in the game environment, as well as the ability to generate an adaptive strategy. These issues in particular became the motivation for the development of this research. It focuses on the genre of role-playing games (RPG) and aims to improve the design and implementation of non-player characters (NPC) through the use of decision trees with node grading and adjustment. An RPG system was developed to implement agent NPCs capable of performing plan reformulation and situational reassessment. Keywords: Multi-agent System, Plan Reformulation, Situational Reassessment, Role-Playing Game, Machine Learning."