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1. US20180247191 - ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED ENTERTAINMENT STATE SYSTEM, DECENTRALIZED CRYPTOCURRENCY SYSTEM AND SYSTEM WITH SEGREGATED SECURE FUNCTIONS AND PUBLIC FUNCTIONS

Office United States of America
Application Number 15886432
Application Date 01.02.2018
Publication Number 20180247191
Publication Date 30.08.2018
Publication Kind A1
IPC
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06K 9/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06Q 20/06
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
20Payment architectures, schemes or protocols
04Payment circuits
06Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G07F 17/32
GPHYSICS
07CHECKING-DEVICES
FCOIN-FREED OR LIKE APPARATUS
17Coin-freed apparatus for hiring articles; Coin-freed facilities or services
32for games, toys, sports, or amusements
CPC
G06K 9/00221
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06Q 20/065
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
20Payment architectures, schemes or protocols
04Payment circuits
06Private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
065using e-cash
G07F 17/329
GPHYSICS
07CHECKING-DEVICES
FCOIN-FREED OR LIKE APPARATUS
17Coin-freed apparatus for hiring articles; Coin-freed facilities or services
32for games, toys, sports or amusements, ; e.g. casino games, online gambling or betting
3286Type of games
329Regular and instant lottery, e.g. electronic scratch cards
Applicants MILESTONE ENTERTAINMENT LLC
Inventors Randall M. Katz
Robert Tercek
Title
(EN) ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED ENTERTAINMENT STATE SYSTEM, DECENTRALIZED CRYPTOCURRENCY SYSTEM AND SYSTEM WITH SEGREGATED SECURE FUNCTIONS AND PUBLIC FUNCTIONS
Abstract
(EN)

Systems and methods are provided for training an artificial intelligence system including the use of one or more human subject responses to stimuli as input to the artificial intelligence system. Displays are oriented to the human subjects to present the stimuli to the human subjects. Detectors monitor the reaction of the human subjects to the stimuli, the detectors including at least motion detectors, the detectors providing an output. An analysis system is coupled to receive the output of the detectors, the analysis system provides an output corresponding to whether the reaction of the human subjects was positive or negative. A neural network utilizes the output of the analysis system, generating a positive weighting for training of the neural network when the output of the analysis system was positive, and a negative weighting for training of the neural network when the output of the analysis system was negative.