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:
Dec. 20, 2022

Filed:

Feb. 19, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Alpana Dubey, Bangalore, IN;

Kumar Abhinav, Hazaribag, IN;

Sakshi Jain, Bangalore, IN;

Veenu Arora, Sri Ganganagar, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06N 5/04 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/0633 (2013.01); G06N 3/0445 (2013.01); G06N 5/043 (2013.01); G06Q 10/06316 (2013.01);
Abstract

The disclosed system and method provide a way to create, update, and execute dynamic goal plans. Updating a dynamic goal plan may be based on the initial sequence of actions of the goal plan as well as the corresponding states of the actions. By using a sequence to sequence model, a goal plan can still be processed when the length of the input (initial sequence of actions) differs from the length of the output (updated sequence of actions). A sequence to sequence model can determine the interdependencies between actions that can contribute to the optimal order in which actions can efficiently be performed. A single layer neural network or clustering can be used to approximate the state of a goal plan that may be capable infinite states. This approximation improves accuracy in capturing the state of a goal plan, thereby improving accuracy in predicting the future state of a system, which can help with planning (e.g., gathering resources in advance). Projects involving collaboration between virtual and/or human assistants can greatly benefit from the ability to update a dynamic goal plan in real time.


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