Greg Dunham
Papers
1
Total Citations
26
H-Index
1
About
Greg Dunham is a researcher in artificial intelligence and interactive entertainment, with a focus on behavior-based systems for non-player characters (NPCs) in computer games. His most cited work, "Efficient, Realistic NPC Control Systems using Behavior-Based Techniques" (2002, 26 citations), challenges conventional AI complexity by arguing that perceived intelligence often outweighs actual intelligence in gaming contexts. Dunham’s key contribution lies in demonstrating how lightweight, behavior-based architectures can create compelling, lifelike NPC interactions without heavy computational overhead—a principle that has influenced game AI design for decades. By prioritizing player perception over algorithmic sophistication, his research bridges cognitive science and practical game development, offering efficient solutions for immersive virtual worlds. Though his citation count is modest, Dunham’s work remains a touchstone for developers seeking realistic, resource-conscious NPC control. His insights into the psychology of player engagement continue to inform modern AI systems in gaming and simulation, making him a notable figure in applied behavioral AI.
Research Focus
Key Achievements
Top Papers
- 1Efficient, Realistic NPC Control Systems using Behavior-Based Techniques26 citations · 2002