System, structure and method for a conscious, human-like artificial intelligence system in a non-natural entity. The creation of artificial intelligence capable of emulating one or more types of intelligence usually found in humans in a non-natural entity. With the correct structuring and functionality, the Al can think, understand and act as a human would. The Al would be “conscious”. FIG. 1.4 best depicts this.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An artificial intelligence system (AIS), comprising: one or more physical and/or non-physical logic units; and one or more physical and/or non-physical functional memory units; which uses various methods, rules, techniques and instructions, based on complex processes which provide a basis for thoughts, opinions, feelings, emotion, sense, sensitivity, understanding and awareness, to: create a non-natural system that can be described as an ‘intelligent machine’, in part or in full, defined as: a machine that continuously and automatically learns and acts, without the need of having specific programs written that are designed to achieve specific tasks (regardless of how broad or dynamic or narrow or static the process(es) for a task is, or how wide limitations may be, whether intentionally or unintentionally imposed), based on its physical and non-physical environment(s) and understanding(s) and experience(s), without specific restrictions and including, if necessary or desired, machine intelligence; as opposed to a non-natural system that can just be described as having ‘machine intelligence’, regardless of degree, defined as: “a machine that can only do exactly as it is told, regardless of how broad or dynamic or narrow or static a process or task is, or how wide limitations may be, whether intentionally or unintentionally imposed”; wherein the various methods and rules and techniques and instructions of the AIS are used to create, give, facilitate or otherwise implement a state of consciousness within a non-natural entity. 2. The AIS of claim 1, wherein the AIS may use physical and non-physical components to facilitate the use of artificial senses. 3. The artificial senses of claim 2, wherein the AIS can recognise images. 4. The artificial senses of claim 2, wherein the AIS can recognise faces. 5. The artificial senses of claim 2, wherein the AIS can recognise sounds. 6. The artificial senses of claim 2, wherein the AIS can recognise the presence of devices. 7. The artificial senses of claim 2, wherein the AIS can recognise additional elements. 8. The AIS of claim 1, wherein the AIS has one or more physical and/or non-physical functional memory units, defined as, “a memory unit with one or more memory sections, where each section may both store data and functions, processes and/or programs to facilitate one or more specific uses of the data stored”. 9. The functional memory unit of claim 8, wherein one or more sections may be used for active memory data and function. 10. The functional memory unit of claim 8, wherein one or more sections may be used for dormant memory data and function. 11. The functional memory unit of claim 8, wherein one or more sections may be used for action memory data and function. 12. The functional memory unit of claim 8, wherein one or more sections may be used for repetitive memory data and function. 13. The functional memory unit of claim 8, wherein one or more sections may be used for repressive memory data and function. 14. The functional memory unit of claim 8, wherein sections may be added and/or removed. 15. The AIS of claim 1, wherein the AIS has one or more physical and/or non-physical logic units, with each logic unit having one or more logic sections which allow the AIS one or more logical functions. 16. The logic unit of claim 15, wherein one unit gives the AIS a ‘Search’ function. 17. The logic unit of claim 15, wherein one unit gives the AIS a ‘Study’ function. 18. The logic unit of claim 15, wherein one unit gives the AIS an ‘Analyse’ function. 19. The logic unit of claim 15, wherein one unit gives the AIS a ‘Reason’ function. 20. The logic unit of claim 15, wherein one unit gives the AIS a ‘Learn’ function. 21. The logic unit of claim 15, wherein one unit gives the AIS a ‘Predict’ function. 22. The logic unit of claim 15, wherein one unit gives the AIS a ‘Decision Making’ function. 23. The logic unit of claim 15, wherein one unit gives the AIS a ‘Communicate’ function. 24. The logic unit of claim 15, wherein one unit gives the AIS a ‘Dedicated Active Monitoring’ function. 25. The logic unit of claim 15, wherein one unit gives the AIS a ‘Creation’ function. 26. The logic unit of claim 15, wherein sections may be added and/or removed. 27. The AIS of claim 1, wherein the AIS is able to express one or more feelings and emotions. 28. The ability to express feelings and emotions of claim 27, wherein the feelings and emotions can be measured on a scale and/or graph. 29. The scales and graphs of claim 28, wherein the scale or graph may be divided into categorical sections. 30. The scales and graphs of claim 28, wherein the scale or graph may be divided into numerical sections. 31. The ability to express feelings and emotions of claim 27, wherein the feelings and emotions can be measured on a multi-point scale and/or graph. 32. The scales and graphs of claim 31, wherein the multi-point scale or graph may be divided into categorical sections. 33. The scales and graphs of claim 31, wherein the multi-point scale or graph may be divided into numerical sections. 34. The AIS of claim 1, wherein the AIS has complex understandings of various aspects of life. 35. The understandings of claim 34, wherein the AIS is able to relate aspects of life in natural organisms to machines and/or devices and/or vice versa. 36. The understandings of claim 34, wherein the AIS is able to understand health. 37. The understandings of claim 34, wherein the AIS is able to understand life. 38. The understandings of claim 34, wherein the AIS is able to understand absence. 39. The understandings of claim 34, wherein the AIS is able to understand death. 40. The understandings of claim 34, wherein the AIS is able to understand feelings and emotion. 41. The understandings of claim 34, wherein the AIS is able to understand pain. 42. The understandings of claim 34, wherein the AIS is able to understand pleasure. 43. The understandings of claim 34, wherein the AIS is able to understand individuality. 44. The understandings of claim 34, wherein the AIS is able to understand trust. 45. The understandings of claim 34, wherein the AIS is able to understand relativism. 46. The understandings of claim 34, wherein the AIS is able to understand relationships. 47. The understandings of claim 34, wherein the understandings of various aspects of life can be compared and used to philosophise. 48. The understandings of claim 34, wherein the understandings of various aspects of life can be compared and used in conjunction with the AIS' emotions and/or feelings to philosophise. 49. The AIS of claim 1, wherein the AIS can use comparative maps of anatomical structures of both natural and non-natural entities. 50. The comparative maps of claim 49, wherein the AIS can relate parts of two or more anatomical structures. 51. The comparative maps of claim 49, wherein the AIS can give parts of an anatomical structure an indication of importance. 52. The AIS of claim 1, wherein, based on experience(s), the AIS' reaction(s) may vary. 53. The experience-based reactions of claim 52, wherein the reactions may vary based on current emotion and/or feeling. 54. The experience-based reactions of claim 52, wherein the reactions may vary based on current emotion and/or feeling towards the experience. 55. The experience-based reactions of claim 52, wherein the reactions may vary based on the number of times the AIS has experienced the same or similar experience. 56. The experience-based reactions of claim 52, wherein the reactions may vary based on the frequency of the same or similar experience. 57. The experience-based reactions of claim 52, wherein the reactions may vary based on the intensity of the experience. 58. The AIS of claim 1, wherein the AIS may compare pattern data with reaction data to determine the effect(s) experiences have. 59. The data comparison of claim 58, wherein the AIS can use pattern and reaction data to determine how experiences affect feelings, emotions and/or behaviour. 60. The data comparison of claim 58, wherein the AIS can use pattern and reaction data to determine how experiences affect entities differently. 61. The AIS of claim 1, wherein the AIS is able to have a sense of self. 62. The sense of self of claim 61, wherein the AIS has a sense of individuality from forms of natural life, devices and other intelligent machines. 63. The sense of self of claim 61, wherein the AIS has a personality that may or may not be unique to itself. 64. The personality of claim 63, wherein the personality may change based on experience(s). 65. The AIS of claim 1, wherein the AIS is able to interact with one or more other AIS systems. 66. The interaction of claim 65, wherein one or more AISs may share information, data and/or knowledge they have developed and/or acquired with one or more other AISs. 67. The interaction of claim 65, wherein one or more AISs may allow one or more other AISs to use their intelligence. 68. The interaction of claim 65, wherein one or more AISs may replicate themselves to create one or more partial and/or exact copies. 69. The interaction of claim 65, wherein two or more AISs may ‘reproduce’ to create one or more new AISs which share one or more traits and/or characteristics and/or knowledge from each ‘parent’. 70. The AIS of claim 1, wherein new abilities may automatically be developed based on what the AIS has learned and/or experienced. 71. The new abilities of claim 70, wherein new abilities may be added to the logic unit. 72. The new abilities of claim 70, wherein new abilities may be added to the memory unit. 73. An artificial intelligence system (AIS), comprising: a multi-part memory structure; which consists of: one or more encryption parts; and one or more memory parts; containing and/or working with: one or more function parts; wherein: the one or more function parts may access data of one or more memory parts; the one or more encryption parts may encrypt the data of one or more memory parts; and the one or more memory parts may store data; which may be used to create, give, facilitate or otherwise implement a state of consciousness within a non-natural entity. 74. The multi-part memory structure of claim 73, wherein a memory structure may be divided into levels and/or layers. 75. The layers and/or levels of claim 74, wherein one or more layers and/or levels have one or more encryption layers. 76. The encryption layers of claim 75, wherein one or more encryption layers may use one or more encryption keys. 77. The encryption layers of claim 75, wherein encryption/decryption is based on one or a combination of factors, such as but not limited to: location; time; and biological data. 78. The multi-part memory structure of claim 73, wherein a memory part may be divided into individual or grouped sections. 79. The sections of claim 78, wherein one or more sections may be given a designated use. 80. The sections of claim 78, wherein one or more sections may have permissions set to control one or more of the following, including but not limited to: who/what may access it; what it may be used for; and when it may be used. 81. The multi-part memory structure of claim 73, wherein the structure may be manipulated to differ from that of the original. 82. The structure manipulation of claim 81, wherein one or more memory parts and/or sections may be rotated. 83. The structure manipulation of claim 81, wherein one or more memory parts and/or sections may be rearranged. 84. The structure manipulation of claim 81, wherein one or more memory parts and/or sections may be repositioned. 85. The multi-part memory structure of claim 73, wherein all or part of the structure may be mapped by the AIS. 86. A computer-implemented method, wherein an artificial intelligence system (AIS), comprising: one or more physical and/or non-physical logic units; and one or more physical and/or non-physical functional memory units; uses various methods, rules, techniques and instructions, based on complex processes which provide a basis for thoughts, opinions, feelings, emotion, sense, sensitivity, understanding and awareness, to: create a non-natural system that can be described as an ‘intelligent machine’, in part or in full, defined as: “a machine that continuously and automatically learns and acts, without the need of having specific programs written that are designed to achieve specific tasks (regardless of how broad or dynamic or narrow or static the process(es) for a task is, or how wide limitations may be, whether intentionally or unintentionally imposed), based on its physical and non-physical environment(s) and understanding(s) and experience(s), without specific restrictions and including, if necessary or desired, machine intelligence; as opposed to a non-natural system that can just be described as having ‘machine intelligence’, regardless of degree, defined as: “a machine that can only do exactly as it is told, regardless of how broad or dynamic or narrow or static a process or task is, or how wide limitations may be, whether intentionally or unintentionally imposed”; wherein the various methods and rules and techniques and instructions of the AIS are used to create, give, facilitate or otherwise implement a state of consciousness within a non-natural entity. 87. The computer-implemented method of claim 86, wherein the AIS may use physical and non-physical components to facilitate the use of artificial senses. 88. The artificial senses of claim 87, wherein the AIS can recognise images. 89. The artificial senses of claim 87, wherein the AIS can recognise faces. 90. The artificial senses of claim 87, wherein the AIS can recognise sounds. 91. The artificial senses of claim 87, wherein the AIS can recognise the presence of devices. 92. The artificial senses of claim 87, wherein the AIS can recognise additional elements. 93. The computer-implemented method of claim 86, wherein the AIS has one or more physical and/or non-physical functional memory units, defined as, “a memory unit with one or more memory sections, where each section may both store data and functions, processes and/or programs to facilitate one or more specific uses of the data stored”. 94. The functional memory unit of claim 93, wherein one or more sections may be used for active memory data and function. 95. The functional memory unit of claim 93, wherein one or more sections may be used for dormant memory data and function. 96. The functional memory unit of claim 93, wherein one or more sections may be used for action memory data and function. 97. The functional memory unit of claim 93, wherein one or more sections may be used for repetitive memory data and function. 98. The functional memory unit of claim 93, wherein one or more sections may be used for repressive memory data and function. 99. The functional memory unit of claim 93, wherein sections may be added and/or removed. 100. The computer-implemented method of claim 86, wherein the AIS has one or more physical and/or non-physical logic units, with each logic unit having one or more logic sections which allow the AIS one or more logical functions. 101. The logic unit of claim 100, wherein one unit gives the AIS a ‘Search’ function. 102. The logic unit of claim 100, wherein one unit gives the AIS a ‘Study’ function. 103. The logic unit of claim 100, wherein one unit gives the AIS an ‘Analyse’ function. 104. The logic unit of claim 100, wherein one unit gives the AIS a ‘Reason’ function. 105. The logic unit of claim 100, wherein one unit gives the AIS a ‘Learn’ function. 106. The logic unit of claim 100, wherein one unit gives the AIS a ‘Predict’ function. 107. The logic unit of claim 100, wherein one unit gives the AIS a ‘Decision Making’ function. 108. The logic unit of claim 100, wherein one unit gives the AIS a ‘Communicate’ function. 109. The logic unit of claim 100, wherein one unit gives the AIS a ‘Dedicated Active Monitoring’ function. 110. The logic unit of claim 100, wherein one unit gives the AIS a ‘Creation’ function. 111. The logic unit of claim 100, wherein sections may be added and/or removed. 112. The computer-implemented method of claim 86, wherein the AIS is able to express one or more feelings and emotions. 113. The ability to express feelings and emotions of claim 112, wherein the feelings and emotions can be measured on a scale and/or graph. 114. The scales and graphs of claim 113, wherein the scale or graph may be divided into categorical sections. 115. The scales and graphs of claim 113, wherein the scale or graph may be divided into numerical sections. 116. The ability to express feelings and emotions of claim 112, wherein the feelings and emotions can be measured on a multi-point scale and/or graph. 117. The scales and graphs of claim 116, wherein the multi-point scale or graph may be divided into categorical sections. 118. The scales and graphs of claim 116, wherein the multi-point scale or graph may be divided into numerical sections. 119. The computer-implemented method of claim 86, wherein the AIS has complex understandings of various aspects of life. 120. The understandings of claim 119, wherein the AIS is able to relate aspects of life in natural organisms to machines and/or devices and/or vice versa. 121. The understandings of claim 119, wherein the AIS is able to understand health. 122. The understandings of claim 119, wherein the AIS is able to understand life. 123. The understandings of claim 119, wherein the AIS is able to understand absence. 124. The understandings of claim 119, wherein the AIS is able to understand death. 125. The understandings of claim 119, wherein the AIS is able to understand feelings and emotion. 126. The understandings of claim 119, wherein the AIS is able to understand pain. 127. The understandings of claim 119, wherein the AIS is able to understand pleasure. 128. The understandings of claim 119, wherein the AIS is able to understand individuality. 129. The understandings of claim 119, wherein the AIS is able to understand trust. 130. The understandings of claim 119, wherein the AIS is able to understand relativism. 131. The understandings of claim 119, wherein the AIS is able to understand relationships. 132. The understandings of claim 119, wherein the understandings of various aspects of life can be compared and used to philosophise. 133. The understandings of claim 119, wherein the understandings of various aspects of life can be compared and used in conjunction with the AIS' emotions and/or feelings to philosophise. 134. The computer-implemented method of claim 86, wherein the AIS can use comparative maps of anatomical structures of both natural and non-natural entities. 135. The comparative maps of claim 134, wherein the AIS can relate parts of two or more anatomical structures. 136. The comparative maps of claim 134, wherein the AIS can give parts of an anatomical structure an indication of importance. 137. The computer-implemented method of claim 86, wherein, based on experience(s), the AIS' reaction(s) may vary. 138. The experience-based reactions of claim 137, wherein the reactions may vary based on current emotion and/or feeling. 139. The experience-based reactions of claim 137, wherein the reactions may vary based on current emotion and/or feeling towards the experience. 140. The experience-based reactions of claim 137, wherein the reactions may vary based on the number of times the AIS has experienced the same or similar experience. 141. The experience-based reactions of claim 137, wherein the reactions may vary based on the frequency of the same or similar experience. 142. The experience-based reactions of claim 137, wherein the reactions may vary based on the intensity of the experience. 143. The computer-implemented method of claim 86, wherein the AIS may compare pattern data with reaction data to determine the effect(s) experiences have. 144. The data comparison of claim 143, wherein the AIS can use pattern and reaction data to determine how experiences affect feelings, emotions and/or behaviour. 145. The data comparison of claim 143, wherein the AIS can use pattern and reaction data to determine how experiences affect entities differently. 146. The computer-implemented method of claim 86, wherein the AIS is able to have a sense of self. 147. The sense of self of claim 146, wherein the AIS has a sense of individuality from forms of natural life, devices and other intelligent machines. 148. The sense of self of claim 146, wherein the AIS has a personality that may or may not be unique to itself. 149. The personality of claim 148, wherein the personality may change based on experience(s). 150. The computer-implemented method of claim 86, wherein the AIS is able to interact with one or more other AIS systems. 151. The interaction of claim 150, wherein one or more AISs may share information, data and/or knowledge they have developed and/or acquired with one or more other AISs. 152. The interaction of claim 150, wherein one or more AISs may allow one or more other AISs to use their intelligence. 153. The interaction of claim 150, wherein one or more AISs may replicate themselves to create one or more partial and/or exact copies. 154. The interaction of claim 150, wherein two or more AISs may ‘reproduce’ to create one or more new AISs which share one or more traits and/or characteristics and/or knowledge from each ‘parent’. 155. The computer-implemented method of claim 86, wherein new abilities may automatically be developed based on what the AIS has learned and/or experienced. 156. The new abilities of claim 155, wherein new abilities may be added to the logic unit. 157. The new abilities of claim 155, wherein new abilities may be added to the memory unit. 158. A computer-implemented method, wherein an artificial intelligence system (AIS) contains a multi-part memory structure, comprising: one or more encryption parts; and one or more memory parts; containing and/or working with: one or more function parts; wherein: the one or more function parts may access data of one or more memory parts; the one or more encryption parts may encrypt the data of one or more memory parts; and the one or more memory parts may store data; which may be used to create, give, facilitate or otherwise implement a state of consciousness within a non-natural entity. 159. The multi-part memory structure of claim 158, wherein a memory structure may be divided into levels and/or layers. 160. The layers and/or levels of claim 159, wherein one or more layers and/or levels have one or more encryption layers. 161. The encryption layers of claim 160, wherein one or more encryption layers may use one or more encryption keys. 162. The encryption layers of claim 160, wherein encryption/decryption is based on one or a combination of factors, such as but not limited to: location; time; and biological data. 163. The multi-part memory structure of claim 158, wherein a memory part may be divided into individual and/or grouped sections. 164. The sections of claim 163, wherein one or more sections may be given a designated use. 165. The sections of claim 163, wherein one or more sections may have permissions set to control one or more of the following, including but not limited to: who/what may access it; what it may be used for; and when it may be used. 166. The multi-part memory structure of claim 158, wherein the structure may be manipulated to differ from that of the original. 167. The structure manipulation of claim 166, wherein one or more memory parts and/or sections may be rotated. 168. The structure manipulation of claim 166, wherein one or more memory parts and/or sections may be rearranged. 169. The structure manipulation of claim 166, wherein one or more memory parts and/or sections may be repositioned. 170. The multi-part memory structure of claim 158, wherein all or part of the structure may be mapped by the AIS.