ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED ENTERTAINMENT STATE SYSTEM, DECENTRALIZED CRYPTOCURRENCY SYSTEM AND SYSTEM WITH SEGREGATED SECURE FUNCTIONS AND PUBLIC FUNCTIONS
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.
1 . A system 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 comprising:
one or more displays, the display oriented to the human subjects to present the stimuli to the human subjects,
one or more detectors to 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, the analysis system 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, and
a neural network, wherein the output of the analysis system provides a:
positive weighting for training of the neural network when the output of the analysis system was positive, and
negative weighting for training of the neural network when the output of the analysis system was negative.
2 . The system for training an artificial intelligence system of claim 1 wherein the neural network training is reinforcement learning.
3 . The system for training an artificial intelligence system of claim 1 wherein the display is monitor.
4 . The system for training an artificial intelligence system of claim 1 wherein the display is a virtual reality display.
5 . The system for training an artificial intelligence system of claim 1 wherein the analysis system monitors individual behavior.
6 . The system for training an artificial intelligence system of claim 1 wherein the analysis system monitors group behavior.
7 . The system for training an artificial intelligence system of claim 1 wherein the detector is a motion tracking system.
8 . The system for training an artificial intelligence system of claim 1 wherein the detector includes a facial detection system.
9 . The system for training an artificial intelligence system of claim 8 wherein the facial detection system determines positive and negative facial attributes.
10 . The system for training an artificial intelligence system of claim 1 wherein the detector further includes a sound detector.
11 . The system for training an artificial intelligence system of claim 10 wherein the sound detector is a microphone.
12 . The system for training an artificial intelligence system of claim 1 wherein the detector is a biometric scanner.
13 . The system for training an artificial intelligence system of claim 1 wherein the detector is a physiologic detector.
14 . The system for training an artificial intelligence system of claim 13 wherein the physiologic detector is a heart rate detector.