Patents by Inventor Edwin Addison

Edwin Addison 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).

  • Knowledge-based methods for genetic network analysis and the whole cell computer system based thereon
    Publication number: 20070094166
    Abstract: A new computing architecture that mimics the behavior of biological cells, called a Whole Cell Computer (WCC) is disclosed. The WCC is a computational architecture based on the biochemical processing of cells. It represents both a specialization and an extension of membrane computing. It is derived from the properties of biological cells and has extensive statistical redundancy built in. It can be programmed using genetic programming techniques.
    Type: Application
    Filed: May 15, 2006
    Publication date: April 26, 2007
    Inventor: Edwin Addison
  • Knowledge-based methods for genetic network analysis and the whole cell computer system based thereon
    Patent number: 7076472
    Abstract: A new computing architecture that mimics the behavior of biological cells, called a Whole Cell Computer (WCC) is disclosed. The WCC is a computational architecture based on the biochemical processing of cells. It represents both a specialization and an extension of membrane computing. It is derived from the properties of biological cells and has extensive statistical redundancy built in. It can be programmed using genetic programming techniques.
    Type: Grant
    Filed: August 5, 2003
    Date of Patent: July 11, 2006
    Inventor: Edwin Addison
  • Knowledge-based methods for genetic network analysis and the whole cell computer system based thereon
    Publication number: 20040143725
    Abstract: A new computing architecture that mimics the behavior of biological cells, called a Whole Cell Computer (WCC) is disclosed. The WCC is a computational architecture based on the biochemical processing of cells. It represents both a specialization and an extension of membrane computing. It is derived from the properties of biological cells and has extensive statistical redundancy built in. It can be programmed using genetic programming techniques.
    Type: Application
    Filed: August 5, 2003
    Publication date: July 22, 2004
    Inventor: Edwin Addison