Patents by Inventor Matthew Allen Bailey

Matthew Allen Bailey has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8429112
    Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system is architectured around a table of components to manage and control the system.
    Type: Grant
    Filed: November 20, 2008
    Date of Patent: April 23, 2013
    Assignee: Accenture Global Services Limited
    Inventors: Eren Tolga Rosenfeld, Ekpedeme Mfon Bassey, Beth Elyse Zadik, Martha Torrey O'Connor, Alexander Han Leung Poon, Eric Jeffrey Lannert, Tracey Andrea Solomon, Jonathan Christian Conant, Alexander Zorba, Carl Michael Puccio, Timothy John Gobran, James Andrew Gilchrist, Mark Stewart Nichols, Brandon Denning Fleisher, Craig William Friedman, Adebisi Detoro Lipede, Matthew Allen Bailey
  • Publication number: 20120003613
    Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system is architectured around a table of components to manage and control the system.
    Type: Application
    Filed: November 20, 2008
    Publication date: January 5, 2012
    Applicant: Accenture Global Services GmbH
    Inventors: Eren Tolga Rosenfeld, Ekpedeme Mfon Bassey, Beth Elyse Zadik, Martha Torrey O'Connor, Alexander Han Leung Poon, Eric Jeffrey Lannert, Tracey Andrea Solomon, Jonathan Christian Conant, Alexander Zorba, Carl Michael Puccio, Timothy John Gobran, James Andrew Gilchrist, Mark Stewart Nichols, Brandon Denning Fleisher, Craig William Friedman, Adebisi Detoro Lipede, Matthew Allen Bailey
  • Publication number: 20090142736
    Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system is architectured around a table of components to manage and control the system.
    Type: Application
    Filed: November 20, 2008
    Publication date: June 4, 2009
    Inventors: Eren Tolga Rosenfeld, Ekpedeme Mfon Bassey, Beth Elyse Zadik, Martha Torrey O'Connor, Alexander Han Leung Poon, Eric Jeffrey Lannert, Tracey Andrea Solomon, Jonathan Christian Conant, Alexander Zorba, Carl Michael Puccio, Timothy John Gobran, James Andrew Gilchrist, Mark Stewart Nichols, Brandon Denning Fleisher, Craig William Friedman, Adebisi Detoro Lipede, Matthew Allen Bailey
  • Patent number: 7536363
    Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner.
    Type: Grant
    Filed: February 8, 1999
    Date of Patent: May 19, 2009
    Assignee: Accenture Global Services GmbH
    Inventors: Eren Tolga Rosenfeld, Ekpedeme Mfon Bassey, Beth Elyse Zadik, Martha Torrey O'Connor, Alexander Han Leung Poon, Eric Jeffrey Lannert, Tracey Andrea Solomon, Jonathan Christian Conant, Alexander Zorba, Carl Michael Puccio, Timothy John Gobran, James Andrew Gilchrist, Mark Stewart Nichols, Brandon Denning Fleisher, Craig William Friedman, Adebisi Detoro Lipede, Matthew Allen Bailey
  • Patent number: 6542880
    Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner.
    Type: Grant
    Filed: December 22, 1998
    Date of Patent: April 1, 2003
    Assignee: Indeliq, Inc.
    Inventors: Eren Tolga Rosenfeld, Ekpedeme Mfon Bassey, Beth Elyse Zadik, Martha Torrey O'Connor, Alexander Han Leung Poon, Eric Jeffrey Lannert, Tracey Andrea Solomon, Jonathan Christian Conant, Alexander Zorba, Carl Michael Puccio, Timothy John Gobran, James Andrew Gilchrist, Mark Stewart Nichols, Brandon Denning Fleisher, Craig William Friedman, Adebisi Detoro Lipede, Matthew Allen Bailey
  • Publication number: 20020052859
    Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner.
    Type: Application
    Filed: December 22, 1998
    Publication date: May 2, 2002
    Inventors: EREN TOLGA ROSENFELD, EKPEDEME MFON BASSEY, BETH ELYSE ZADIK, MARTHA TORREY O'CONNOR, ALEXANDER HAN LEUNG POON, ERIC JEFFREY LANNERT, TRACEY ANDREA SOLOMON, JONATHAN CHRISTIAN CONANT, ALEXANDER ZORBA, ALEXANDER ZORBA, TIMOTHY JOHN GOBRAN, JAMES ANDREW GILCHRIST, MARK STEWART NICHOLS, BRANDON DENNING FLEISHER, CRAIG WILLIAM FRIEDMAN, ADEBISI DETORO LIPEDE, MATTHEW ALLEN BAILEY