PATENT 
Attorney Docket No.0978-01299-US-CIP

Claims as Allowed

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;

determining that the first sensory input corresponds to a consciousness module;

in response to determining that the first sensory input corresponds to the consciousness module, 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:

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 1, 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.       The computer-implemented method of claim 15, wherein the human language command is not audibly emitted from the machine. 

17.       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; and

a personality waveform generator operative to generate a waveform corresponding to an artificial personality,

wherein the first action or the second action may be selected according to the waveform at a particular time or a particular time range associated with the first sensory input or the second sensory input.

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.       The system of claim 18, wherein the light source comprises one or more LEDs.

20.       The system of claim 17, wherein the personality waveform generator comprises an audio source configured to produce a sound wave, and wherein the waveform comprises the sound wave.

21.       The system of claim 20, wherein the first action or the second action is selected from a list of potential responses corresponding to a frequency, wavelength, and amplitude of the waveform.

22.       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 observation;

in response to the human language observation, creating an unspoken human language stimulus;

selecting a first action corresponding to the unspoken human language stimulus from a plurality of responses defined by a light wave, the light wave corresponding to an artificial intelligence associated with the machine; and

performing the first action in response to the human language stimulus. 

23.       The computer-implemented method of claim 22, wherein the first action is selected from a list of potential responses corresponding to a frequency, wavelength, and amplitude of the light wave.

24.       The computer-implemented method of claim 23, wherein the frequency, wavelength, and amplitude of the light wave corresponds to a time of the first sensory input such that the light wave simulates a mood of the artificial intelligence at the time associated with the first sensory input.

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