SYSTEMS AND METHODS FOR STEERING AN AGENDA BASED ON USER COLLABORATION

Patent №

US 10,692,163

Granted

2020-06-23

Filed 2017

Owner

FISCALNOTE, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15494300

A collaborative prediction system for altering predictive outcomes of dynamic processes may include a processor configured to store initial information about a specific dynamic process having a plurality of potentially differing outcomes, assign to the specific dynamic process a first likelihood of occurrence of at least one of the potentially differing outcomes, and receive, from a first system user, notification data, the notification data being associated with the specific dynamic process. The processor may be configured to transmit, based on the notification data, at least some of the stored initial information about the specific dynamic process to the second system user and the third system user, receive from the second system user, first additional information responsive to the at least some of the stored initial information about the specific dynamic process and impacting the specific dynamic process, and generate, based on the first additional information and the initial information, a second likelihood different from the first likelihood. The processor may further be configured to transmit to the first system user, the second system user, and the third user an indication of the second likelihood, receive from the third system user, second additional information impacting the specific dynamic process, generate, based at least in part on the second additional information, a third likelihood different from the first likelihood and the second likelihood, and transmit to the first system user, the second system user, and the third system user an indication of the third likelihood.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06Q 50/26G06F 3/0482G06F 3/04847G06F 16/288G06F 16/3331G06F 40/205G06F 40/263G06F 40/30+9 more

AI classification

Planning1.00
AI hardware1.00
Knowledge representation0.97
Machine learning0.91
Natural language0.86
Evolutionary computation0.01
Vision0.00
Speech0.00

Ownership

FISCALNOTE, INC.

assignment · 422550234

Assignors

EIDELMAN, VLADIMIR, GROM, BRIAN, ARGYLE, DANIEL, PINTO, JERVIS

On an employer assignment, the assignors are typically the inventors.

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