IP Library › Granted Patent US 12,293,009
Granted Patent B1
US 12,293,009 · App. 17/394,024 · Granted May 6, 2025

Artificially intelligent systems, devices, and methods for learning and/or using visual surrounding for autonomous object operation

Inventor: Jasmin Cosic (Miami, FL)
G06F3/00
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Quick Facts
Patent No.
US 12,293,009
App. No.
17/394,024
Granted
May 6, 2025
Kind
B1
Abstract

Aspects of the disclosure generally relate to computing devices and/or systems, and may be generally directed to devices, systems, methods, and/or applications for learning operation of an application or an object of an application in various visual surroundings, storing this knowledge in a knowledgebase (i.e. neural network, graph, sequences, etc.), and enabling autonomous operation of the application or the object of the application.

Claims (33)

1. A system comprising:

one or more non-transitory machine readable media storing machine readable code that, when executed, causes at least:

accessing a knowledgebase that includes one or more digital picture inputs correlated with one or more instruction sets for operating a first application program;

receiving or generating one or more digital pictures that depict at least a portion of: the first application program, or a second application program;

determining the one or more instruction sets for operating the first application program at least by: inputting at least a portion of the received or the generated one or more digital pictures into the one or more digital picture inputs, and using a correlation between the one or more digital picture inputs and the one or more instruction sets for operating the first application program; and

at least in response to the determining, causing the first application program or the second application program to autonomously perform one or more operations defined by the one or more instruction sets for operating the first application program.

2. The system of claim 1 , wherein the one or more non-transitory machine readable media include one or more volatile memories.

3. The system of claim 1 , wherein the one or more non-transitory machine readable media include one or more non-volatile memories.

4. The system of claim 1 , wherein the one or more non-transitory machine readable media include one or more storage devices.

5. The system of claim 1 , wherein the received or the generated one or more digital pictures include: one or more still digital pictures, or one or more motion digital pictures.

6. The system of claim 1 , wherein the one or more digital picture inputs include: one input for one digital picture, one input for a plurality of digital pictures, a plurality of inputs for a plurality of digital pictures, one input for one portion of a digital picture, one input for one portion of a plurality of digital pictures, a plurality of inputs for a plurality of portions of a digital picture, or a plurality of inputs for a plurality of portions of a plurality of digital pictures.

7. The system of claim 1 , wherein at least some elements of the system are included in a single device.

8. The system of claim 1 , wherein at least some elements of the system are included in multiple devices.

9. The system of claim 1 , wherein the one or more inputs are correlated with the one or more instruction sets for operating the first application program using at least one or more connections, and wherein the using the correlation between the one or more inputs and the one or more instruction sets for operating the first application program includes using at least one connection of the one or more connections between the one or more inputs and the one or more instruction sets for operating the first application program.

10. The system of claim 1 , wherein the one or more instruction sets for operating the first application program include one or more information about one or more states of the first application program.

11. A method comprising:

accessing a knowledgebase that includes one or more digital picture inputs correlated with one or more instruction sets for operating a first application program;

receiving or generating one or more digital pictures that depict at least a portion of: the first application program, or a second application program;

determining the one or more instruction sets for operating the first application program at least by: inputting at least a portion of the received or the generated one or more digital pictures into the one or more digital picture inputs, and using a correlation between the one or more digital picture inputs and the one or more instruction sets for operating the first application program; and

at least in response to the determining, causing the first application program or the second application program to autonomously perform one or more operations defined by the one or more instruction sets for operating the first application program.

12. The method of claim 11 , wherein the method is implemented using one or more volatile memories.

13. The method of claim 11 , wherein the method is implemented using one or more non-volatile memories.

14. The method of claim 11 , wherein the method is implemented using one or more storage devices.

15. The method of claim 11 , wherein the one or more digital picture inputs include: one input for one digital picture, one input for a plurality of digital pictures, a plurality of inputs for a plurality of digital pictures, one input for one portion of a digital picture, one input for one portion of a plurality of digital pictures, a plurality of inputs for a plurality of portions of a digital picture, or a plurality of inputs for a plurality of portions of a plurality of digital pictures.

16. The method of claim 11 , wherein the one or more inputs are correlated with the one or more instruction sets for operating the first application program using at least one or more connections, and wherein the using the correlation between the one or more inputs and the one or more instruction sets for operating the first application program includes using at least one connection of the one or more connections between the one or more inputs and the one or more instruction sets for operating the first application program.

17. The method of claim 11 , wherein the method is implemented on a single device.

18. The method of claim 11 , wherein the method is implemented on multiple devices.

19. The method of claim 11 , wherein the one or more instruction sets for operating the first application program include one or more information about one or more states of the first application program.

20. A system comprising:

means for accessing a knowledgebase that includes one or more digital picture inputs correlated with one or more instruction sets for operating a first application program;

means for receiving or generating one or more digital pictures that depict at least a portion of: the first application program, or a second application program;

means for determining the one or more instruction sets for operating the first application program at least by: inputting at least a portion of the received or the generated one or more digital pictures into the one or more digital picture inputs, and using a correlation between the one or more digital picture inputs and the one or more instruction sets for operating the first application program; and

means for causing, at least in response to the determining, the first application program or the second application program to autonomously perform one or more operations defined by the one or more instruction sets for operating the first application program.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 25, 2022
From: COSIC, JASMIN
To: AUTONOMOUS DEVICES LLC
Reel/Frame 060907/0195 →
Continuity (3)
Continuation 16237743 · Jan 1, 2019
Continuation 15835434 · Dec 7, 2017
Continuation 15245046 · Aug 23, 2016
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Justin, Codemasters F1 2015 PC Review, https://www.racedepartment.com/threads/codemasters-f1-2015-pcreview. 109768/page-2, Aug. 13, 2015. [cited by applicant]
Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone, Learning to Overtake in TORCS Using Simple Reinforcement Learning, https://www.researchgate.net/profile/Pier-LucaLanzi/publication/224177868_Learning… [cited by applicant]
Design, https://www.gamedeveloper.com/design/how-forza-s-drivatar-actuallyworks#close-modal, approx. 2005. [cited by applicant]
Dean Takahashi, How Microsoft's Turn 10 fashioned the A.I. for cars in Forza Motorsport 5 (interview), https://venturebeat.com/games/how-microsofts-turn-10-fashioned-the-ai-for-carsin-forza-motorsport-5-interview/, appr… [cited by applicant]
How “Forza Motorsport 5” is Defining New Generation Racing, https://news.xbox.com/en-us/2013/09/20/games-forza-5-new-gen-racing/, Sep. 20, 2013. [cited by applicant]
https://www.microsoft.com/en-us/research/project/video-games-and-artificialintelligence/, approx. 2005. [cited by applicant]
Kyle Orland, How Forza 5 and the Xbox One use the cloud to drive machine-learning AI, https://arstechnica.com/gaming/2013/10/how-forza-5-and-the-xbox-one-use-thecloud-to-drive-machine-learning-ai/, Oct. 25, 2013. [cited by applicant]
Anders Drachen, Christian Thurau, Julian Togelius, Georgios Yannakakis, Christian Bauckhage, Chapter 12: Game Data Mining, • https://andersdrachen.files.wordpress.com/2012/08/gamedatamining_intro.pdf, approx. 2012. [cited by applicant]
Cassia Pollock, Self-Driving Robotic EMMA Debuts at Brain Corp Open House in Mira Mesa, NBCSandiego, https://www.nbcsandiego.com/news/local/self-driving-robotic-emma-debuts-atbrain-corp-open-house-in-mira-mesa/51855/, O… [cited by applicant]
https://braincorp.com/newsroom/brain-corp-launches-its-first-artificialintelligence-based-product-and-receives-innovation-of-the-year-award/, approx. Oct. 2016 [cited by applicant]
https://media.irobot.com/2015-09-16-iRobot-Enters-the-Smart-Home-withRoomba-980-Vacuum-Cleaning-Robot, approx. Sep. 2015. [cited by applicant]
https://spectrum.ieee.org/irobot-brings-visual-mapping-and-navigation-to-theroomba-980, approx. Sep. 2015. [cited by applicant]
https://www.technologyreview.com/2015/09/16/247936/the-roomba-now-seesand-maps-a-home/, approx. Sep. 2015. [cited by applicant]
Edge AI and Vision Alliance, “The Roomba 980: Computer Vision Meets Consumer Robotics,” a Presentation from iRobot, YouTube, https://www.youtube.com/watch?v=23fvZme36-g&t=1s, Jun. 19, 2018. [cited by applicant]
ComputerVisionFoundation Videos, Three Pillars of Autonomous Driving, YouTube, https://www.youtube.com/watch?v=ntQf8oSiCPc, Sep. 2, 2016. [cited by applicant]
The System-on-Chip for Automotive Applications, Mobileye, https://www.mobileye.com/technology/eyeq-chip, approx. 2016. [cited by applicant]
https://media.gm.com/media/us/en/socratv/home.detail.html/content/Pages/news/us/en/2016/Jan/0105-onstar.html#:˜:text=Road%20Experience%20Management%20targets%20accuracy%20to%20enable%20fully%20autonomous%20driving&text=… [cited by applicant]
https://www.sec.gov/Archives/edgar/data/1607310/000157104916012024/t1600463_ex99-1.htm/, approx. 2016. [cited by applicant]
Udacity, Welcome to Self Driving Car Engineer Nanodegree, https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd0013, approx. Dec. 2016. [cited by applicant]
https://chatbotslife.com/using-augmentation-to-mimic-human-driving496b569760a9#.5dpi87xzi, approx. Dec. 2016. [cited by applicant]
Joshua Owoyem, Behavioural Cloning Applied to Self-Driving Car on a Simulated Track, Medium, https://towardsdatascience.com/behavioural-cloning-applied-to-self-driving-caron-a-simulated-track-5365e1082230, Jan. 27, 2017. [cited by applicant]
Vivek yadav, Behavior cloning using Neual Networks for self-driving cars.—Naive, Medium, YouTube, https://www.youtube.com/watch?v=k5GWzzE1qaU, Dec. 16, 2016. [cited by applicant]
Autonomous Off-Road Vehicle Control Using End-to-End Learning, Net-Scale, https://net-scale.com/doc/net-scale-dave-report.pdf, Jul. 30, 2004. [cited by applicant]
Prof. Ragunathan “Raj” Rajkumar, https://users.ece.cmu.edu/˜raj/, approx. 2007. [cited by applicant]
CMU's Autonomous Cadillac SRX, https://web.archive.org/web/20130925024507/http://rtml.ece.cmu.edu/Shuster, Sep. 25, 2013. [cited by applicant]
https://web.archive.org/web/20131006210323/http://varma.ece.cmu.edu/GMCMU-AD-CRL/, approx. 2013. [cited by applicant]
https://web.archive.org/web/20130526052601/http://varma.ece.cmu.edu/GMCMU-AD-CRL/Videos.shtml, approx. 2013. [cited by applicant]
Raj Rajkumar, https://engineering.cmu.edu/directory/bios/rajkumar-raj.html, approx. 2007. [cited by applicant]
From 0-70 in 30, Carnegie Mellon University, https://www.cmu.edu/homepage/environment/2014/fall/from-0-70-in-30.shtml, approx. 2014. [cited by applicant]
College of Engineering, Carnegie Mellon University, Raj Rajkumar: Driverless Vehicles, YouTube, https://www.youtube.com/watch?v=QWkKOKEmooQ, Nov. 26, 2014. [cited by applicant]
Carnegie Mellon's Tartan Racing Wins $2M DARPA Urban Challenge, https://www.cmu.edu/homepage/practical/2007/fall/victory.shtml, approx. 2007. [cited by applicant]
DARPA Urban Challenge, https://www.darpa.mil/about-us/timeline/darpa-urban-challenge, Nov. 3, 2007. [cited by applicant]
Driverless Vehicle Makes Its Debut, https://www.cmu.edu/homepage/practical/2007/winter/meet-the-boss.shtml, approx. 2007. [cited by applicant]
BotJunkie, DARPA Urban Challenge (2007), YouTube, https://www.youtube.com/watch?v=-xibwwNVLgg, Sep. 21, 2009. [cited by applicant]
https://web.archive.org/web/20121222215453, approx. 2012. [cited by applicant]
https://www.rockstargames.com/jobs/position/3e1b31310eba5dfe4d6a0db32321f086/rage, approx. Oct. 2016. [cited by applicant]
Game Forest, Evolution of RAGE Engine Games 2006-2018, YouTube, https://www.youtube.com/watch?v=fruSKeMKNY0, Mar. 16, 2019. [cited by applicant]
Inspiration Tuts GameDev, What Game Engine Does Rockstar Use?, YouTube, https://www.youtube.com/watch?v=_oVDegAKxz0, Nov. 14, 2022. [cited by applicant]
ECO-Motion is 2K Sports next-generation in house animation technology that powers the 2K line of sports games such as NBA 2K and WWE 2K., https://www.giantbomb.com/eco-motion-engine/3015-9061, approx. Oct. 2016. [cited by applicant]
Playstation, NBA 2K14—Eco-Motion, YouTube, https://www.youtube.com/watch?v=5BJR6z1W7Ew, Nov. 7, 2013. [cited by applicant]
ESPN NFL 2K5—PS2—Review, https://www.gamezone.com/reviews/espn_nfl_2k5_ps2_review/, approx. Jul. 21, 2004. [cited by applicant]
ESPN NFL 2K5, https://en.wikipedia.org/wiki/ESPN_NFL_2K5, approx. Jul. 2004. [cited by applicant]
Rev, ESPN NFL 2K5—V.I.P. System, YouTube, https://www.youtube.com/watch?v=Iv0rZ7ecvmQ, approx. Jul. 2004. [cited by applicant]
Unreal Engine, Epic Games Releases Unreal Engine 4 for All, https://www.unrealengine.com/en-us/blog/epic-games-releases-unreal-engine-4-for-all, approx. Mar. 2014. [cited by applicant]
Unreal Engine, Basics of AI | Live Training | Unreal Engine, YouTube, https://www.youtube.com/watch?v=evYE7WWXUY, Apr. 20, 2015. [cited by applicant]
Zhang, Yiying, Lei Guo, and Nicolas D. Georganas. “AGILE: An architecture for agent-based collaborative and Interactive virtual environments.” Proc. Workshop on Application Virtual Reality Technologies for Future Teleco… [cited by applicant]
Eladhari, Mirjam P., “Semi-Autonomous Avatars in Virtual Game Worlds,” Pre-conference to the ECREA 2010—3rd European Communication Conference, Avatars and Humans. Representing Users in Digital Games, Hamburg, Germany, O… [cited by applicant]
Matthew, Vestal, Job management system for a fleet of autonomous mobile robots, WO2013119942, WIPO, Aug. 15, 2013, 89 pages. [cited by applicant]
Caporale et al., System and method for control and training of avatars in an interactive environment, Re. 45132, USPTO, Sep. 9, 2014, 31 pages. [cited by applicant]
Tim Paek, Bongshin Lee, Bo Thiesson, Designing Phrase Builder: A Mobile Real-Time Query Expansion Interface, Microsoft Research, 2009, 10 pages. [cited by applicant]
IPR 2023-01171, PTAB, Jun. 30, 2023, 1 page. [cited by applicant]
Matthew Rimmer, “Tesla Motors' Open Source Revolution: Intellectual Property and the Carbon Crisis,” Medium (Jun. 15, 2014), 13 pages. [cited by applicant]
Keith Barry, “Guide to Lane Departure Warning and Lane Keeping Assist,” Consumer Reports (Jun. 28, 2017), 13 pages. [cited by applicant]
The Tesla Team, “Dual Motor Model S and Autopilot,” Tesla Blog (Oct. 10, 2014), 3 pages. [cited by applicant]
Gabe Nelson, “Tesla enables ‘autopilot’ for the Model S, promises a world without steering wheels,” Automotive News (Oct. 15, 2015), 3 pages. [cited by applicant]
Chris Davies, “Tesla Enhanced Autopilot: What 8.1 is (and isn't) and 2016 will bring,” Slash Gear (Dec. 22, 2016), 6 pages. [cited by applicant]
Andrew J. Hawkins, “Tesla has been working on a backup plan in case its self-driving promises fail,” The Verge (Aug. 9, 2017), 5 pages. [cited by applicant]
Jordan Golson, “Tesla's Self-Driving Care Hardware Will Run You $8,000,” The Verge (Oct. 20, 2016), 3 pages. [cited by applicant]
Kirsten Korosec, “Elon Musk Says Tesla Vehicles Will Drive Themselves in Two Years,” Fortune (Dec. 21, 2015), 7 pages. [cited by applicant]
XAutoworld, “Transcript: Elon Musk's Autopilot 2.0 Conference Call,” XAutoworld (Nov. 20, 2016), 17 pages. [cited by applicant]
Tracing (software), retrieved from <URL: http://wikipedia.com> on Jan. 10, 2014, 3 pages. [cited by applicant]
Tree (data structure), retrieved from <URL: http://wikipedia.com> on Jun. 24, 2014, 6 pages. [cited by applicant]
PTRACE(2), retrieved from <URL: http://unixhelp.ed.ac.uk/CGI/man-cgi?ptrace> on Mar. 19, 2014, 5 pages. [cited by applicant]
Wevtutil, retrieved from <URL: http://technet.microsoft.com/en-us/library/cc732848(d=default,I=en-us,v=ws.11).aspx> on Apr. 28, 2014, 5 pages. [cited by applicant]
Intel Processor Trace, retrieved from <URL: https://software.intel.com/en-us/blogs/2013/09/18/processor-tracing> on Apr. 28, 2014, 3 pages. [cited by applicant]
Younghoon Jung, Java Dynamics Reflection and a lot more, Oct. 10, 2012, 55 pages, Columbia University. [cited by applicant]
Amitabh Srivastava, Alan Eustace, Atom A System for Building Customized Program Analysis Tools, May 3, 2004, 12 pages. [cited by applicant]
Mathew Smithson, Kapil Anand, Aparna Kotha, Khaled Elwazeer, Nathan Giles, Rajeev Barua, Binary Rewriting without Relocation Information, Nov. 10, 2010, 11 pages, University of Maryland. [cited by applicant]
Marek Olszewski, Keir Mierte, Adam Czajkowski, Angela Demle Brown, JIT Instrumentation—A Novel Approach To Dynamically Instrument Operating Systems, Feb. 12, 2007, 14 pages, University of Toronto. [cited by applicant]
About | OpenCV, retrieved from <URL: http://opencv.org/about.html> on Dec. 13, 2014, 1 pages. [cited by applicant]
Animetrics, Inc. | 3D Facial Recognition, retrieved from <URL: http://animetrics.com/> on Dec. 13, 2014, 2 pages. [cited by applicant]
Bag-of-words model, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 2 pages. [cited by applicant]
Beier-Neely morphing algorithm, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 1 pages. [cited by applicant]
Computer vision, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 7 pages. [cited by applicant]
Convolutional neural network, retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 5 pages. [cited by applicant]
Decimation (signal processing), retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 3 pages. [cited by applicant]
Digital image processing, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 3 pages. [cited by applicant]
Dissolve (filmmaking), retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 2 pages. [cited by applicant]
Facial recognition system, retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 6 pages. [cited by applicant]
Feature detection (computer vision), retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 3 pages. [cited by applicant]
Feature extraction, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 2 pages. [cited by applicant]
Gesture recognition, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 5 pages. [cited by applicant]
Grabcut, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 1 pages. [cited by applicant]
Image processing, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 2 pages. [cited by applicant]
Image segmentation, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 12 pages. [cited by applicant]
Image warping, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 2 pages. [cited by applicant]
Inbetweening, retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 2 pages. [cited by applicant]
Interpolation, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 5 pages. [cited by applicant]
Anguage model, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 4 pages. [cited by applicant]
List of speech recognition software, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 4 pages. [cited by applicant]
Livewire Segmentation Technique, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 2 pages. [cited by applicant]
Morphing, retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 2 pages. [cited by applicant]
Motion estimation, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 2 pages. [cited by applicant]
Muse: Face Morph || Mesh Warping, retrieved from <URL: http://alexwolfe.blogspot.com/2011/10/face-morph-mesh-warping.html> on Nov. 19, 2015, 2 pages. [cited by applicant]
N-gram, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 5 pages. [cited by applicant]
Optical flow, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 4 pages. [cited by applicant]
Outline of object recognition, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 7 pages. [cited by applicant]
Phonotactics, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 3 pages. [cited by applicant]
Recurrent neural network, retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 5 pages. [cited by applicant]
Sample rate conversion, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 2 pages. [cited by applicant]
Simple interactive object extraction, retrieved from <URL: http:/wikipedia.com> on Nov. 19, 2015, 2 pages. [cited by applicant]
Speech recognition, retrieved from <URL: http://wikipedia.com> on Nov. 11, 2015, 12 pages. [cited by applicant]
Speech segmentation, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 4 pages. [cited by applicant]
Welcome to recognize-speech.com, retrieved from <URL: http://recognize-speech.com/> on Oct. 18, 2015, 1 pages. [cited by applicant]
Introduction Speech, retrieved from <URL: http://recognize-speech.com/speech> on Oct. 18, 2015, 1 pages. [cited by applicant]
Preprocessing, retrieved from <URL: http://recognize-speech.com/preprocessing> on Oct. 18, 2015, 4 pages. [cited by applicant]
Feature Extraction, retrieved from <URL: http://recognize-speech.com/feature-extraction> on Oct. 18, 2015, 3 pages. [cited by applicant]
Acoustic model, retrieved from <URL: http://recognize-speech.com/acoustic-model> on Oct. 18, 2015, 2 pages. [cited by applicant]
Video content analysis, retrieved from <URL: http://wikipedia.com> on Nov. 19, 2015, 2 pages. [cited by applicant]
Video tracking, retrieved from <URL: http://wikipedia.com> on Nov. 1, 2015, 2 pages. [cited by applicant]
Andrej Karpathy, Thomas Leung, George Toderici, Rahul Sukthankar, Sanketh Shetty, Li Fei-Fei, Large-scale Video Classification with Convolutional Neural Networks, Apr. 14, 2014, 8 pages, Stanford University. [cited by applicant]
Karen Simonyan, Andrew Zisserman, Two-Stream Convolutional Networks for Action Recognition in Videos, Nov. 13, 2014, 11 pages, University of Oxford. [cited by applicant]
About Event Tracing, retrieved from <URL: http://msdn.microsoft.com/en-us/library/aa363668(d=default,I=en-us, v=vs.85).aspx> on Jan. 12, 2014, 2 pages. [cited by applicant]
Add dynamic Java code to your application, retrieved from <URL: http://www.javaworld.com/article/2071777/design-patterns/add-dynamic-java-code-to-your-application.html> on May 13, 2014, 6 pages. [cited by applicant]
BCEL, retrieved from <URL: http://commons.apache.org> on May 13, 2014, 2 pages. [cited by applicant]
Artificial intelligence, retrieved from <URL: http://wikipedia.com> on May 21, 2014, 28 pages. [cited by applicant]
Artificial neural network, retrieved from <URL: http://wikipedia.com> on May 21, 2014, 12 pages. [cited by applicant]