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

Print

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

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