Implementing AI for Non-player Characters in 3D Video Games

被引：10

作者：

Kopel, Marek ^{[1
]}

Hajas, Tomasz ^{[1
]}

机构：

[1] Wroclaw Univ Sci & Technol, Fac Comp Sci & Management, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT I | 2018年 / 10751卷

关键词：

Artificial intelligence; Video game; Non-player character; Neural network; enetic algorithm; Q-learning; Unreal engine; NEURAL-NETWORKS;

D O I：

10.1007/978-3-319-75417-8_57

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The purpose of this work was to find a solution for implementing intelligent behavior of independent NPC agents (non-player characters) in video games. NPC is a computer operated character - usually an enemy to the human user player. In modern video games NPCs are programmed to mimic human player behaviour to increase realism. Four approaches to NPC AI implementation were compared: decision tree, genetic algorithm, Q-learning, and a hybrid method. Results were aggregated and discussed along with recommending the best approach.

引用

页码：610 / 619

页数：10

共 50 条

[1] Unleashing generative non-player characters in video games: An AI Act perspective
Sas, Martin
2024 IEEE GAMING, ENTERTAINMENT, AND MEDIA CONFERENCE, GEM 2024, 2024, : 556 - 559
[2] The Moral Service of Trans Non-Player Characters: Examining the Roles of Transgender Non-Player Characters in Role-Playing Video Games
Kosciesza, Aiden J.
GAMES AND CULTURE, 2023, 18 (02) : 189 - 208
[3] A Hierarchical Reinforcement Learning Based Artificial Intelligence for Non-Player Characters in Video Games
Ponce, Hiram
Padilla, Ricardo
NATURE-INSPIRED COMPUTATION AND MACHINE LEARNING, PT II, 2014, 8857 : 172 - 183
[4] Controllable automatic generation of non-player characters in 3D anime style
Li, Ruizhe
Oji, Ryo
Fujishiro, Issei
COMPUTER ANIMATION AND VIRTUAL WORLDS, 2023, 34 (02)
[5] Two Level Control of Non-Player Characters for Navigation in 3D Games Scenes: A Deep Reinforcement Learning Approach
Gomes, Gilzamir
Vidal, Creto A.
Cavalcante-Neto, Joaquim B.
Nogueira, Yuri L. B.
2021 20TH BRAZILIAN SYMPOSIUM ON COMPUTER GAMES AND DIGITAL ENTERTAINMENT (SBGAMES 2021), 2021, : 182 - 190
[6] Combining Neural Networks for Controlling Non-player Characters in Games
Sagredo-Olivenza, Ismael
Pablo Gomez-Martin, Pedro
Antonio Gomez-Martin, Marco
Antonio Gonzalez-Calero, Pedro
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT II, 2017, 10306 : 694 - 705
[7] Towards autonomous behavior learning of non-player characters in games
Feng, Shu
Tan, Ah-Hwee
EXPERT SYSTEMS WITH APPLICATIONS, 2016, 56 : 89 - 99
[8] Learning Chasing Behaviours of Non-Player Characters in Games Using SARSA
Phon-Amnuaisuk, Somnuk
APPLICATIONS OF EVOLUTIONARY COMPUTATION, PT I, 2011, 6624 : 133 - 142
[9] The Player-Ethnographer An Ethnographic Approach to the Study of Non-Player Characters in Digital Games
Ogier, Harley
PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2020), 2020,
[10] Implementing Performance Moderators for Non-Player Characters in Commercial Gaming Environments
Fraser, William D.
AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 2013, 84 (07): : 750 - 751

← 1 2 3 4 5 →