DocumentCode
1735279
Title
Dynamic scripting applied to a First-Person Shooter
Author
Policarpo, Daniel ; Urbano, Paulo ; Loureiro, Tiago
Author_Institution
Lab. de Modelacao de Agentes, FCUL, Lisbon, Portugal
fYear
2010
Firstpage
1
Lastpage
6
Abstract
Video game Artificial Intelligence (AI) is growing more complex and realistic to keep up with player requirements. Despite this, most games still fail to provide true adaptability in their AI, resulting in situations where an intermediate level player is able to predict the AI´s behavior in a short amount of time, leading to a predictable and boring game experience. Creating a truly adaptive AI would greatly benefit a videogame´s intrinsic value by providing a more immersive and unpredictable game experience. This paper describes the development of an AI system for the First-Person Shooter (FPS) videogame genre that avoids this problem through the creation of adaptable rule-based behaviors, enabling AI characters to learn the best strategy for any given situation..
Keywords
artificial intelligence; computer games; AI behavior prediction; AI system; dynamic scripting; first-person shooter video game genre; intermediate level player; rule-based behaviors; video game artificial intelligence; video game intrinsic value; Artificial intelligence; Engines; Games; Heuristic algorithms; Prototypes; Rockets; Weapons; Adaptive AI; Game Experience; Rule-based Behaviors; Videogame AI;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Systems and Technologies (CISTI), 2010 5th Iberian Conference on
Conference_Location
Santiago de Compostela
Print_ISBN
978-1-4244-7227-7
Type
conf
Filename
5556600
Link To Document