Robot Architectures for Believable Game Agents

作者: Ian D. Horswill , Robert Zubek

DOI:

关键词: Computer scienceComputational complexity theoryHuman–computer interactionComputer gameAgent architectureRobotArtificial intelligenceComputationInferenceField (computer science)Robotics

摘要: Computer game character design and robotics share many of the same goals computational constraints. Both attempt to create intelligent artifacts that respond realistically their environments, in real time, using limited computation resources. Unfortunately, none current AI architectures is entirely satisfactory for either field. We discuss some issues believability complexity are common both fields, types have been used world cope with these problems. Then we present a new class architectures, called role passing which combine ability perform high level inference real-time performance.

参考文章(5)
Ian Douglas Horswill, Grounding Mundane Inference in Perception Autonomous Robots. ,vol. 5, pp. 63- 77 ,(1998) , 10.1023/A:1008865025943
PATTIE MAES, How to Do the Right Thing Connection Science. ,vol. 1, pp. 291- 323 ,(1989) , 10.1080/09540098908915643
Takaaki Hasegawa, Yukiko I. Nakano, Tsuneaki Kato, A collaborative dialogue model based on interaction between reactivity and deliberation adaptive agents and multi-agents systems. pp. 75- 82 ,(1997) , 10.1145/267658.267671
R. Brooks, A robust layered control system for a mobile robot international conference on robotics and automation. ,vol. 2, pp. 204- 213 ,(1986) , 10.1109/JRA.1986.1087032
R. Arkin, Motor schema based navigation for a mobile robot: An approach to programming by behavior international conference on robotics and automation. ,vol. 4, pp. 264- 271 ,(1987) , 10.1109/ROBOT.1987.1088037