US 2019/0294965 A1 · SYSTEMS AND METHODS USING ARTIFICIAL INTELLIGENCE TO ANALYZE NATURAL LANGUAGE SOURCES BASED ON PERSONALLY-DEVELOPED INTELLIGENT AGENT MODELS

Abstract

A system and method for creating an intelligent agent model for providing an expert opinion on source data includes obtaining at least one first data source for training an intelligent agent model, receiving training input on the at least one first data source from an individual, extracting a set of relevant attributes of the at least one first data source based on the received training input, weighting the set of relevant attributes based on at least one of the received training input or prior received training input, forming at least one neural network that comprises the intelligent agent model based on the set of relevant attributes and the weighting, ranking or scoring at least one section of a second data source using the intelligent agent model, and outputting the ranking or scoring.

Claims6

Dependent claims

A system for developing an intelligent agent model of intelligent computational agents, comprising:

a curation tool for obtaining information from an expert, the curation tool generating training data;
a computational block coupled to receive the training data, the computational block employing an algorithm to generate encoded expertise;
and,
an intelligent agent created at least in part by and coupled to receive the encoded expertise.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

16/361,917Filed 22 Mar 2019

Priority

23 Mar 2018

Published

26 Sep 2019

Term ends

Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06N 3/08
Neural networks: learning methods
G06N 3/006
Artificial life, i.e. computing arrangements simulating life: based on simulated virtual individual or collective life forms, e.g. social…
G06N 3/044
Architecture, e.g. interconnection topology: recurrent networks, e.g. Hopfield networks
G06N 3/0442
Recurrent networks, e.g. Hopfield networks: characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]

Systems and methods using artificial intelligence to analyze natural language sources based on personally-developed intelligent agent models

Life of this patent

Systems and methods using artificial intelligence to analyze natural language sources based on personally-developed intelligent agent models

Life of this patent

Abstract

Claims6