Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system
Reexamination Certificate
2003-10-28
2010-06-08
Patel, Ramesh B (Department: 2121)
Data processing: structural design, modeling, simulation, and em
Simulating nonelectrical device or system
C703S011000, C345S473000, C707S793000, C715S229000, C717S122000, C717S170000
Reexamination Certificate
active
07734454
ABSTRACT:
A technique for consistently simulating at two different complexities of simulation is described. This technique is particularly relevant to simulation of a creature-like autonomous agent (biological or artificial or hybrid). The model, in the particular case a model of the creature, comprises at least two portions. The first portion contains functions used in both of the different complexities of simulation. The second portion comprises two alternative versions, a first version for use in one complexity of simulation, and a second version for use in the other complexity of simulation.
REFERENCES:
patent: 5592402 (1997-01-01), Beebe et al.
patent: 5623428 (1997-04-01), Kunii et al.
patent: 5678013 (1997-10-01), Smith et al.
patent: 6285380 (2001-09-01), Perlin et al.
patent: 6446055 (2002-09-01), Grand
patent: 2002/0128746 (2002-09-01), Boies et al.
patent: 871137 (1998-10-01), None
Guillot et al., “Computer Simulations of Adaptive Behavior in Animals” 1994, IEEE, p. 122-131.
DeMarse et al., “The Neurally Controlled Animat: Biological Brains Action with Simulated Bodies” Nov. 2001 Computer Science and Engineering vol. 11 Abstract, p. 1-3.
Atsumi-M., “Artificial Neural Development for Pulsed Neural Network Design—A Simulation Experiment on Animat's Cognitive Map Genesis”. 2000 IEEE p. 188-198.
Terzopoulos-D., “Artificial Life for Computer Graphics” ACM 1999 p. 33-43.
Sander-M.J., “Evolving Locomotion Controllers for Virtual Creatures”, Univ. of Auckland Feb. 2000 p. 1-76.
“Videre: Journal of Computer Vision Research” MIT Press 1997 p. 1-20.
French et al., “The Hi-Noon Neural Simulator and its Applications to Animal, Animat and Humanoid Studies” Microelectronics Reliability 2001 p. 2051-2065.
Aube et al., “What Are Emotions For? Commitments Management and Regulation Within Animals/Animats Encounters” 1996 MIT Press.
Werner-G.M., “Using Second Order Neural Connections for Motivation of Behavioral Choices”, 1994, Computer Science Dept., UCLA, pp. 154-161.
Blumberg-B.M., “Multi-Level Direction of Autonomous Creatures for Real-Time Virtual Environments” ACM 1995 p. 47-54.
Guillot et al.,“The Animat Contribution to Cognitive System Research” AnimatLab, 2001. p. 157-165.
Meyer et al., “From SAB90 to SAB94: Four years of Animat Research” Internation Confer of Adaptive Behavior 1994, p. 8-12.
Sims-K., “Evolving Virtual Creatures” International Confer and Interactive Techniques 1994 p. 15-22.
Atkeson et al., “Using Humanoid Robots to Study Human Behavior” IEEE 2000 p. 46-55.
Funge-J., “Cognitive Modeling for Games and Animation” ACM 2000 p. 40-48.
(Internet Page) [4-22] Animats and Autonomous Agents, URL: http://www.faqs.org/faqs/ai-faq/general/part4/section-23.html, p. 1-2.
(Conference Paper) “No Bad Dogs: Ethological Lessons for Learning in Hamsterdam”, Blumber B. M., Todd, P., M., Maes. From Animals to Animats, Proceedings of the Fourth International Conference on the Simulation of Adaptive Behavior. Cambridge, MA: MIT Press http://characters.media.mit.edu/Papers/sab96.pdf, p. 1-10.
(Thesis) “Old Tricks, New Dogs: Ethology and Interactive Creatures” Bruce Mitchell Blumberg., http://web.media.mit.edu/ bruce/Site01.data/tricks.pdf, p. 1-146.
(Proceedings Paper) “Multi-Level Direction of Autonomous Creatures for Real-Time Virtual Environments”, Blumberg B. M., Galyean T. A., pp. 47-54, Computer Graphics Proceedings, Annual Conference Series, 1995. http://web.media.mit.edu/ bruce/Site01.data/siggraph95.pdf.
(Proceedings Paper) “A Layered Brain Architecture for Synthetic Creatures”, Isla D., Burke R., Downie M., Blumberg B., Proceedings of IJCAI, Seattle, WA, Aug. 2001. http://characters.media.mit.edu/Papers/ijcai01.pdf, p. 1-8.
(Proceedings Paper) “Using an Ethologically-Inspried Model to Learn Apparent Temporal Causality for Planning in Synthetic Creatures”, Burke R., Blumberg B., Proceedings of the First International Joint conference on Autonomous Agents and Multiagent Systems, AAMAS 2002. http://web.media.mit.edu/ bruce/Site01.data/aa02-burke.pdf, p. 1-9.
(Trinity Colelge Dublin ISG paper) “ALOHA: Adaptive Level of Detail for Human Animation, Towards a New Framework”, Giang T., Mooney R., Peters C., O'Sullivan C. http://isg.cs.tcd.ie/petersc/pubs/aloha.pdf, p. 1-7.
Cliff David Trevor
Hawkes Rycharde Jeffery
Low Colin Andrew
Hewlett--Packard Development Company, L.P.
Patel Ramesh B
Stevens Thomas H
LandOfFree
Simulation at two different levels of complexity does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Simulation at two different levels of complexity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Simulation at two different levels of complexity will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4194853