PERCEPTION
Efficient, Realistic NPC Control Systems using Behavior-Based Techniques
Aaron Khoo, Greg Dunham, Nick Trienens, Sanjay Sood
- Year
- 2002
- Citations
- 26
Abstract
Computer games are an application in which the perception of intentionality is often more important than intentionality itself. Players often attribute more intelligence to non-player characters than is actually warranted. Therefore, rather than investing more AI complexity in the system, we propose an approach which refines and extends the finite-state machine techniques already prevalent in commercially available games. Taking advantage of the similarities between robots and NPCs in dynamic environments, we describe two NPC control systems that uses behavior-based techniques.
Keywords
IntentionalityComputer scienceArtificial intelligencePerceptionControl (management)RobotFinite-state machineState (computer science)Machine learningHuman–computer interaction
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002