Systems and methods for transforming sensory input into actions by a machine having self-awareness

Abstract

A computer system for transforming sensory input received at a machine into actions by the machine. The system receives sensory input from one or more sensors. Upon determining that the sensory input corresponds to a consciousness module, the system translates the input into a human language stimulus. The system selects an action corresponding to the human language stimulus and performs the action.

What I claim is: 
     
         1 . A computer-implemented method for transforming sensory input received at a machine into actions by the machine, the method comprising:
 receiving a first sensory input from one or more sensors;   translating the first sensory input into a human language to create a human language stimulus;   selecting a first action corresponding to the human language stimulus; and   performing the first action in response to the human language stimulus.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising:
 determining that the first sensory input corresponds to a consciousness module, wherein translating the first sensory input into the human language to create the human language stimulus occurs in response to determining that the first sensory input corresponds to the consciousness module;   receiving a second sensory input from the one or more sensors;   determining that the second sensory input corresponds to a sub-consciousness module;   selecting a second action corresponding to the second sensory input; and   performing the second action in response to the second sensory input.   
     
     
         3 . The computer-implemented method of  claim 2 , wherein selecting the second action corresponding to the second sensory input comprises selecting the second action in a lookup table stored in memory. 
     
     
         4 . The computer-implemented method of  claim 2 , wherein selecting the second action corresponding to the second sensory input comprises:
 selecting a list of potential responses according to a characteristic of an artificial personality associated with the machine; and   selecting the second action from the list of potential responses.   
     
     
         5 . The computer-implemented method of  claim 4 , wherein the characteristic corresponds to a waveform. 
     
     
         6 . The computer-implemented method of  claim 5 , wherein the waveform is generated by light. 
     
     
         7 . The computer-implemented method of  claim 6 , wherein the list of potential responses corresponds to a frequency, wavelength, and amplitude of the waveform. 
     
     
         8 . The computer-implemented method of  claim 7 , wherein the list of potential responses corresponds to the frequency, wavelength, and amplitude of the waveform such that a first waveform having a first frequency, a first wavelength, and a first amplitude corresponds to a first list of potential responses that are each more neutral than a second waveform having a second frequency that is higher than the first frequency, a second wavelength that is shorter than the first wavelength, and a second amplitude that is higher than the first amplitude. 
     
     
         9 . The computer-implemented method of  claim 5 , wherein the waveform is generated by sound. 
     
     
         10 . The computer-implemented method of  claim 2 , wherein determining that the first sensory input corresponds to the consciousness module comprises:
 determining that the first sensory input is excluded from a list of sensory inputs corresponding to the sub-consciousness module.   
     
     
         11 . The computer-implemented method of  claim 1 , wherein selecting the first action corresponding to the human language stimulus comprises:
 selecting a list of potential responses according to a characteristic of an artificial personality associated with the machine; and   selecting the first action from the list of potential responses.   
     
     
         12 . The computer-implemented method of  claim 11 , wherein the characteristic corresponds to a waveform created by a light source or an audio source. 
     
     
         13 . The computer-implemented method of  claim 12 , wherein the waveform is generated internally to the machine. 
     
     
         14 . The computer-implemented method of  claim 12 , wherein the waveform is generated externally to the machine. 
     
     
         15 . The computer-implemented method of  claim 12 , further comprising:
 in response to selecting the first action from the list of potential responses, translating the second action into the human language to create a human language command; and   in response to the human language command, performing the first action.   
     
     
         16 . A system for transforming sensory input received at a machine into actions by the machine, the system comprising:
 one or more sensors;   memory;   at least one processor;   a consciousness module stored in the memory and coupled to the at least one processor, the consciousness module operative to
 receive a first sensory input from the one or more sensors, 
 translate the first sensory input into a human language to create a human language stimulus, 
 determine whether the human language stimulus requires a first action, and 
 if the human language stimulus requires the first action, perform the first action; 
   a sub-consciousness module stored in the memory and coupled to the at least one processor, the sub-consciousness module operative to
 receive a second sensory input from the one or more sensors, 
 select a second action corresponding to the second sensory input, and 
 perform the second action in response to the second sensory input, 
   wherein the first action or the second action is selected according to a waveform.   
     
     
         17 . The system of  claim 16 , further comprising a personality waveform generator operative to generate the waveform corresponding to an artificial personality, 
     
     
         18 . The system of  claim 17 , wherein the personality waveform generator comprises a light source configured to produce a light wave, and wherein the waveform comprises the light wave. 
     
     
         19 . A computer-implemented method for transforming sensory input received at a machine into actions by the machine, the method comprising:
 receiving a first sensory input from one or more sensors;   in response to receiving the first sensory input, creating a human language affirmation of the machine's existence;   storing the human language affirmation of the machine's existence;   in response to the first sensory input and the human language affirmation of the machine's existence, selecting a first action corresponding to the first sensory input from a plurality of responses defined by a waveform, the waveform corresponding to an artificial intelligence associated with the machine; and   performing the first action.   
     
     
         20 . The computer-implemented method of  claim 19 , wherein the first action is selected from a list of potential responses corresponding to a frequency, wavelength, and amplitude of the waveform.