The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 25, 2022

Filed:

Feb. 20, 2018
Applicant:

Kyndi, Inc., San Mateo, CA (US);

Inventors:

Arun Majumdar, Alexandria, VA (US);

James R. Welsh, Reston, VA (US);

Assignee:

KYNDI, INC., San Mateo, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/9535 (2019.01); H04L 41/046 (2022.01); G06N 5/04 (2006.01); G06F 16/2457 (2019.01); G06N 3/00 (2006.01); H04L 41/16 (2022.01); G06N 20/20 (2019.01); H04L 41/147 (2022.01); G06N 10/00 (2022.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06F 17/16 (2006.01); H04L 67/02 (2022.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/24578 (2019.01); G06F 16/28 (2019.01); G06F 16/9024 (2019.01); G06F 17/16 (2013.01); G06N 3/006 (2013.01); G06N 5/043 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); H04L 41/046 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 67/02 (2013.01);
Abstract

An apparatus and method are provided for machine learning method using a network of agents. The agents are arranged in a network with respective links between pairs of agents, and the links enabling the exchange information. Different agents can apply different reasoning paradigms corresponding to different approaches to machine learning and artificial intelligence. These disparate approaches are seamlessly integrated to aggregate decisions and learning performed using different approaches using an economics model in which a Nash equilibrium is reached through the exchange of information. Each agent selects which other agents to exchange information with by seeking to optimize preference, utility, and objective functions, and these function include how well the agents obtain an assigned goal subject to other desirable features and characteristics (e.g., enforcing diversity).


Find Patent Forward Citations

Loading…