A system for monitoring an environment may include an input device for monitoring and capturing pattern-based states of a model of the environment. The system may also include a 5 thalamobot embodied in at least a first processor, in which the first processor is in communication with the input device. The thalamobot may include at least one filter for monitoring captured data from the input device and for identifying at least one state change within the captured data. The system may also include at least one critic and/or at least one recognition system.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for monitoring an environment comprising: an input device for monitoring and capturing pattern-based states of a model of the environment; a thalamobot embodied in at least a first processor, said first processor in communication with the input device, said thalamobot including: at least one filter for monitoring captured data from said input device and for identifying at least one state change within the captured data; at least one critic, wherein said at least one filter forwards said at least one state change to said at least one critic, and wherein said critic judges merit of said at least one state changes. 2. The system of claim 1 wherein said filter includes an anomaly filter. 3. The system of claim 1 wherein said filter includes a rhythm detector. 4. The system of claim 1 wherein said input device is a camera which transmits said pattern-based states as captured images to the thalamobot. 5. The system of claim 1 wherein said input device is a microphone which transmits said pattern-based states as captured sound to the thalamobot. 6. The system of claim 1 wherein said critic includes a plurality of neural modules. 7. The system of claim 6 wherein said plurality of neural modules chain together in patterns which serve as a figure of merit for said at least one state change. 8. The system of claim 1 wherein said thalamobot is embodied on the at least one processor in a computer system which is separate from a computer system on which the model of the environment is generated. 9. The system of claim 1 wherein the pattern-based states of the model of the environment are generated by an output device which outputs said pattern-based states in the form of reconstruction errors of a plurality of neural modules in an imagitron. 10. The system of claim 1 wherein the pattern-based states of the model of the environment are generated by an output device which outputs said pattern-based states in the form of topology of chains forming in an imagitron. 11. The system of claim 1 wherein the pattern-based states of the model of the environment are generated by an output device which outputs said pattern-based states in the form of activation histories of a plurality of neural modules in an imagitron. 12. The system of claim 1 wherein the pattern-based states of the model of the environment are generated by an output device which outputs said pattern-based states in the form of topological chain formation histories of a plurality of neural modules in an imagitron. 13. The system of claim 1 wherein the model of the environment is a brain scan. 14. The system of claim 8 wherein the thalamobot is in communication with said computer system on which the model of the environment is generated to modify a level of noise injected into the model. 15. The system of claim 14 wherein raising the level of noise to the model generates new ideas within the model. 16. The system of claim 8 wherein the thalamobot is in communication with said computer system on which the model of the environment is generated to promote learning within the model. 17. The system of claim 6 wherein the neural modules are embodied on an array of processors. 18. The system of claim 6 wherein the neural modules are embodied on a single processor. 19. A system comprising: an imagitron embodied on at least a first processor, said imagitron including a first plurality of neural modules, and said imagitron capable of accepting environmental inputs; an output device in communication with said imagitron for outputting a state of one or more of the first plurality of neural modules; an input device for monitoring the state of one or more of the first plurality of neural modules output via the output device; a thalamobot embodied on at least a second processor separate from the at least one first processor, said second processor in electronic communication with the input device, said thalamobot including at least one filter for monitoring captured data from said input device and for identifying at least one state change within the captured data; at least one critic, wherein said at least one filter forwards said at least one state change to said at least one critic, and wherein said critic judges merit of said at least one state change. 20. The system of claim 19 wherein said output device is a display screen which displays the data in the form of respective reconstruction errors of at least some of the first plurality of neural modules. 21. The system of claim 19 wherein said output device is a display screen which displays the data in the form of activations of at least some of the first plurality of neural modules. 22. The system of claim 19 wherein said output device is a speaker. 23. The system of claim 19 wherein said filter is an anomaly filter. 24. The system of claim 19 wherein said filter is a rhythm detector. 25. The system of claim 19 wherein said input device is a camera which captures and transmits data output from the output device in the form of respective reconstruction errors of at least some of the first plurality of neural modules. 26. The system of claim 19 wherein said input device is a camera which captures and transmits data output from the output device in the form of activations of at least some of the first plurality of neural modules. 27. The system of claim 19 wherein said input device is a microphone which transmits s output data as captured audio to the thalamobot. 28. The system of claim 19 wherein said critic includes a second plurality of neural modules. 29. The system of claim 19 wherein said filter includes a third plurality of neural modules. 30. The system of claim 29 wherein respective clusters of one or more neural modules of said third plurality of neural modules are assigned to monitor pre-assigned portions of the output data. 31. The system of claim 19 wherein said thalamobot is embodied on a processor in a computer system which is separate from the environment from which output data is captured by the input device. 32. The system of claim 19 wherein said thalamobot is in electronic communication with said imagitron for controlling a noise level within said first plurality of neural nodes. 33. The system of claim 32 wherein said thalamobot causes an increase in the noise level within said first plurality of neural nodes in response to a lack of meritorious chaining data as determined by said at least one critic. 34. The system of claim 19 wherein said thalamobot is in electronic communication with said imagitron for controlling chain cancellation and chain reinforcement within the imagitron. 35. The system of claim 19 wherein said input device foveationally monitors the data output from the output device. 36. The system of claim 19 wherein the thalamobot includes a plurality of thalamobots, each analyzing respective portions of said output data captured by said input device. 37. The system of claim 19 wherein the input device includes a plurality of input devices. 38. The system of claim 37 wherein the thalamobot includes a plurality of thalamobots, each analyzing respective portions of said output data captured by said plurality of input devices. 39. The system of claim 19 wherein the thalamobot is in communication with said imagitron to raise the level of noise in the imagitron to generate new chaining within the imagitron. 40. The system of claim 19 wherein the thalamobot is in communication with said imagitron to raise the level of noise in the imagitron to generate variations in interpretation of the environmental inputs to the imagitron. 41. The system of claim 19 wherein the thalamobot is in communication with said imagitron to promote reinforcement of desirable chains within the imagitron. 42. The system of claim 19 wherein the thalamobot is in communication with said imagitron to discourage undesirable chains within the imagitron. 43. The system of claim 19 wherein a plurality of any of said neural modules are embodied on an array of processors. 44. The system of claim 19 wherein said critic is embodied within said thalamobot by one or more neural modules of a second set of neural modules. 45. The system of claim 19 wherein said critic is embodied within said first set of neural modules of said imagitron. 46. The system of claim 19 wherein said thalamobot is further in communication with said imagitron to instruct one or more of said neural modules in said first plurality of neural modules to operate hetero-associatively or auto-associatively. 47. The system of claim 19 wherein said first plurality of neural modules of said imagitron emulate a stream of consciousness, and said thalamobot promotes or impedes associative chains within said imagitron representing a subjective feel of said stream of consciousness. 48. The system of claim 19 wherein said input device is a camera which captures and transmits data output from the output device in the form of topology of chains forming in the imagitron. 49. The system of claim 19 wherein said thalamobot further includes at least one buffer to capture ordinality of chain formations. 50. A system for monitoring an environment comprising: an imagitron embodied on at least a first processor, said imagitron including a first plurality of neural modules, and said imagitron capable of accepting environmental inputs; an output device in communication with said imagitron for outputting a state of one or more of the first plurality of neural modules; an input device for monitoring the state of one or more of the first plurality of neural modules output via the output device; a thalamobot embodied on at least a second processor separate from the at least one first processor, said second processor in electronic communication with the input device; wherein said thalamobot also includes at least one recognition system which recognizes sub-pattern states within said first plurality of neural modules as monitored by the input device, said sub-pattern states having formed in reaction to ideational sub-patterns within said first plurality of neural modules, and said recognition system determining merit or lack thereof in said sub-pattern states by virtue of at least one of the location, shape, topology, reconstruction error, and activation of said sub-pattern states. 51. The system of claim 50 wherein said recognition system controls injection of noise into the imagitron and reinforced learning within the imagitron. 52. The system of claim 50 wherein said thalamobot directs chaining of neural modules within the imagitron through an associative memory. 53. The system of claim 50 wherein injection of noise into the imagitron causes the formation of latent ideas via wearing-in of pathways between modules. 54. The system of claim 50 wherein at least some of said first plurality of modules are each embodied on a separate processor, wherein said processor includes registers, RAM, and a cache, and wherein a GMF is incorporated into at least one of said registers, said RAM, and said cache. 55. The system of claim 54 wherein each said GMF governs how its respective processor cooperates with other such GMF-equipped processors in generating associative chains within at least one of said imagitron and said thalamobot. 56. The system of claim 50 wherein said thalamobot including at least one filter for monitoring captured data from said input device and for identifying at least one state change within the captured data, said filter passing said at least one state change to the recognition system. 57. A system for monitoring an environment comprising: an imagitron embodied on at least a first processor, said imagitron including a first plurality of neural modules, and said imagitron capable of accepting environmental inputs; an output device in communication with said imagitron for outputting a state of one or more of the first plurality of neural modules; an input device for monitoring the state of one or more of the first plurality of neural modules output via the output device; a thalamobot embodied on at least a second processor separate from the at least one first processor, said second processor in electronic communication with the input device; wherein said thalamobot also includes at least one mapping system which detects states within said first plurality of neural modules as monitored by the input device, and maps said states to at least one predetermined output pattern.