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:
Aug. 16, 2022

Filed:

Aug. 30, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Roshni Ramesh Ramnani, Bangalore, IN;

Shubhashis Sengupta, Bangalore, IN;

Moushumi Mahato, Jamshedpur, IN;

Sukanti Beer, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06N 5/04 (2006.01); H04L 51/02 (2022.01); G10L 15/06 (2013.01); G10L 15/183 (2013.01);
U.S. Cl.
CPC ...
G06N 5/025 (2013.01); G06N 5/04 (2013.01); G10L 15/063 (2013.01); G10L 15/183 (2013.01); H04L 51/02 (2013.01); G10L 2015/0636 (2013.01);
Abstract

The present system and method may generally include organizing the task flow of a virtual agent in a way that is controlled by a set of rules and set of conditional probability distributions. The system and method may include receiving a user utterance including a first task, identifying the first task from the user utterance, and obtaining a set of rules related to the plurality of tasks. The set of rules may determine whether pre-tasks and/or pre-conditions are to be executed before executing the first task. The set of rules may also determine whether post-tasks and/or post-conditions are to be executed after executing the first task. The system and method may include executing the task; running a probabilistic graphical model on the plurality of tasks to determine a second task based on the first task; suggesting to the user the second task; and updating the probabilistic graphical model after a threshold number of runs.


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