Active learning prototypes for teaching game AI

Nuno Fachada, Filipa F. Barreiros, Phil Lopes, Micaela Fonseca

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial intelligence (AI) in computer games can enhance the player experience by providing more realistic and dynamic interactions with non-player characters and/or the game environment and is, therefore, an essential skill for game development students to acquire. In this paper, we discuss ten active learning prototypes for undergraduate game development students focusing on AI for Games. The prototypes were implemented in the Unity game engine, and each prototype considers a particular technique or set of algorithms. Depending on the prototype, students are required to interact with it on two levels: 1) by running it within the Unity editor, manipulating the respective technique's parameters, and experimenting and/or playing with the implemented demo or game; or, 2) in addition to the previous level, by actively changing and expanding the provided code to achieve the desired behavior or result. We performed a survey immediately after contact with the prototypes and found that they were easy for the students to manipulate and/or build upon, and most significantly, that they helped students understand the associated techniques and algorithms.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE Conference on Games, CoG 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350322774
DOIs
Publication statusPublished - 2023
Event5th Annual IEEE Conference on Games, CoG 2023 - Boston, United States
Duration: 21 Aug 202324 Aug 2023

Publication series

NameIEEE Conference on Computatonal Intelligence and Games, CIG
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Conference

Conference5th Annual IEEE Conference on Games, CoG 2023
Country/TerritoryUnited States
CityBoston
Period21/08/2324/08/23

Keywords

  • EDUCATION
  • COMPUTER GAMES
  • COMPUTER GAMES DEVELOPMENT
  • LEARNING
  • ARTIFICIAL INTELLIGENCE
  • VIDEOGAMES
  • COMPUTER SCIENCE

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