DIGMA: A role-playing game with agent plan reformulation and situational reassessment
Date of Publication
2005
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Merlin Suarez
Defense Panel Chair
Merlin Suarez
Defense Panel Member
Teresita Limoanco
Allan Chu
Abstract/Summary
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."
Abstract Format
html
Language
English
Format
Accession Number
TU13624
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : ill. (some col.) 28 cm. + user's manual
Keywords
Computer games--Programming,; Computer algorithms
Recommended Citation
De Guzman, D. S., Dellosa, S. N., Inventado, P. B., & Lao, P. T. (2005). DIGMA: A role-playing game with agent plan reformulation and situational reassessment. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14215