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ACMACE
2006
ACM
13 years 11 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
ACMACE
2007
ACM
13 years 9 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
AAAI
2006
13 years 6 months ago
ScriptEase - Motivational Behaviors for Interactive Characters in Computer Role-Playing Games
ScriptEase is a tool that allows authors with no programming experience to create interactive stories for computer role-playing games. Instead of writing scripting code manually, ...
Maria Cutumisu, Duane Szafron, Jonathan Schaeffer,...
AIIDE
2006
13 years 6 months ago
Modeling Self-Adapting and Multicultural Non-Player Characters in Artificial Worlds
Modeling the behavior of Non-Player Characters (NPCs) so that they can act properly in an artificial world is a difficult, yet essential task in the development of modern computer...
Samuel Marin