Data processing: artificial intelligence – Miscellaneous
Reexamination Certificate
2007-07-17
2007-07-17
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Miscellaneous
C706S012000
Reexamination Certificate
active
10609703
ABSTRACT:
Improved human-like realism of computer opponents in racing or motion-related games is provided. The computer driver may be “distracted” by various characteristics, such as nervousness caused by another competitor closing the gap behind a computer driver. The distraction effects may be reflected in the alteration of stimuli to represent the computer driver “missing” stimuli, as though the AI competitor has taken its virtual eyes away from the course in front of its vehicle for an extended time period in order to watch the racing vehicle behind it. In addition, some distractions may be caused by different directional stimuli. When it is determined that an AI driver has glanced into the rear view mirror, visual stimuli from in front of the vehicle may be skipped because a human driver would not be able to simultaneously process visual stimuli from both the front of the vehicle and the rear view mirror.
REFERENCES:
patent: 6195626 (2001-02-01), Stone
patent: 6199030 (2001-03-01), Stone
patent: 6290357 (2001-09-01), Massengill et al.
patent: 6422869 (2002-07-01), Nagarajan et al.
patent: 6487304 (2002-11-01), Szeliski
patent: 6757824 (2004-06-01), England
patent: 6798443 (2004-09-01), Maguire, Jr.
patent: 6958752 (2005-10-01), Jennings et al.
Solving sequential decision-making problems under virtual reality simulation system Yang Xianglong; Feng Yuncheng; Li Tao; Wang Fei; Simulation Conference, 2001. Proceedings of the Winter vol. 2, Dec. 9-12, 2001 pp. 905-912 vol. 2 Digital Object Identifier 10.1109/WSC.2001.977392.
Analysis on steady state behavior of DEVS models Ahn, M.S.; Kim, T.G.; AI, Simulation, and Planning in High Autonomy Systems, 1993. ‘Integrating Virtual Reality and Model-Based Environments’. Proceedings. Fourth Annual Conference Sep. 20-22, 1993 pp. 142-147 Digital Object Identifier 10.1109/AIHAS.1993.410589.
Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualizationStarnatakos, G.S.; Zacharaki, E.I.; Makropoulou, M.; Mouravliansky, N.A.; Marsh, A.; Nikita, K.S.; Uzunoglu, N.K.; Information Technology in Biomedicine, IEEE Transactions on vol. 5, Issue 4.
Toward Disambiguating Multiple Selections for Frustum-Based Pointing Schmidt, G.; Baillot, Y.; Brown, D.G.; Tomlin, E.B.; Swan, J.E.; Virtual Reality, 2006. IEEE Mar. 25-29, 2006 pp. 129-129 Digital Object Identifier 10.1109/VR.2006.133.
Toward Disambiguating Multiple Selections for Frustum-Based Pointing Schmidt, G.; Baillot, Y.; Brown, D.G.; Tomlin, E.B.; Swan, J.E.; 3D User Interfaces, 2006. 3DUI 2006. IEEE Symposium on Mar. 25-29, 2006 pp. 87-94 Digital Object Identifier 10.1109/VR.2006.133.
Bennewitz, M., Burgard, W., Thrun, S.; “Using EM to Learn Motion Behaviors of Persons with Mobile Robots” ; Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems EPFL, Lausanne, Switzerland, Oct. 2002, pp. 502-507.
Hatton Mark
Herbrich Ralf
Tipping Michael E.
Holmes Michael B.
Knight Anthony
LandOfFree
Probabilistic model of distraction for a virtual reality... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Probabilistic model of distraction for a virtual reality..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Probabilistic model of distraction for a virtual reality... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3745382