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 games, often requiring neverending adjustments of handwritten rules in a way to enable NPCs to perform well in the game world. This paper introduces an evolutionary method relying on highlevel rule-based behaviors, genetic algorithms and speciation. By interconnecting these three areas, we propose a technique that has the potential to provide multicultural NPCs with the ability to adapt themselves to an artificial world.

• Type: Conference
• Year: 2006
• Where: AIIDE
• Authors: Samuel Marin
• Keywords: AIIDE 2006, Artificial Intelligence, Artificial World, Non-player Characters, NPCs