TY - GEN
T1 - EVO-CBG - An evolutionary system for automatically generating character behaviours for game environments
AU - Patten, James
AU - Ryan, Conor
PY - 2012
Y1 - 2012
N2 - In this paper we discuss the need to extend the standard types of character behaviours found in game environments if we are to create new and more compelling gaming experiences. We propose using techniques from Evolutionary Algorithms and research from Game Design to create a system that can help game designers extend standard types of behaviours. This system automatically produces behaviours that are designed to optimize predefined parameters in the game environment. We outline experiments conducted using an implementation of this system to produce behaviours for the game Ms. Pac-Man, along with providing an overview of the results obtained. Finally we discuss these results and the potential they show for our system to help game designers not only create character behaviours, but also diagnose the effect that adding or removing certain mechanics will have on the overall gaming experience.
AB - In this paper we discuss the need to extend the standard types of character behaviours found in game environments if we are to create new and more compelling gaming experiences. We propose using techniques from Evolutionary Algorithms and research from Game Design to create a system that can help game designers extend standard types of behaviours. This system automatically produces behaviours that are designed to optimize predefined parameters in the game environment. We outline experiments conducted using an implementation of this system to produce behaviours for the game Ms. Pac-Man, along with providing an overview of the results obtained. Finally we discuss these results and the potential they show for our system to help game designers not only create character behaviours, but also diagnose the effect that adding or removing certain mechanics will have on the overall gaming experience.
UR - http://www.scopus.com/inward/record.url?scp=84866052331&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-32645-5_27
DO - 10.1007/978-3-642-32645-5_27
M3 - Conference contribution
AN - SCOPUS:84866052331
SN - 9783642326448
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 211
EP - 216
BT - Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Proceedings
T2 - 6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012
Y2 - 23 August 2012 through 25 August 2012
ER -