An artificial intelligence platform that is capable of reproducing a person's identity and allowing others to interact with it is described. It does so by creating a Digital Identity, founded on the very concept of a Digital Soul capable of bringing back to life (mirroring) the physical aspect, behavior, emotions, mannerisms and relational sphere of the subject. Each Digital Identity is capable of interacting with its surroundings and of formulating specific responses based on an innovative knowledge base structure of the individual, his emotional background (psychological model) and relational structure (skills/aptitude). The creation of a Digital Identity is defined by the ensemble of the individual's Digital Soul (Animus, Loquor and Indoles), physical characteristics (Corpus) and relational sphere with people (Societas) and with the environment (Circum).
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An artificial intelligence platform for representing a subject as a Digital Identity to one or more interlocutors through a dialogue, comprising one or more or all logical elements chosen from: a Circum module operably configured for sensing information about an environment external to the Digital Identity; a Societas module operably configured for identifying a level of intimacy between the subject and another individual; an Indoles module operably configured for determining emotional and psychological behavior of the subject; an Animus module operably configured for storing memories of the subject and for determining an answer to interlocutor inquiries; a Loquor module operably configured for interpreting verbal and/or non-verbal languages of the interlocutors and expressing answers to the interlocutors using verbal and/or non-verbal languages; and/or a Corpus module operably configured for determining physical and/or voice characteristics of the subject and representing the characteristics to the interlocutors. 2. The artificial intelligence platform of claim 1, wherein: multimodal inputs are received by the Circum module, the Societas module, the Indoles module, and the Animus module; the Circum module provides an output to the Societas module, the Indoles module, and the Animus module; the Societas module provides an output to the Indoles module and the Animus module; the Indoles module provides an output to the Animus module; the Animus module provides an output to the Loquor module and to the Corpus module; the Loquor module provides an output to the Corpus module; and the Corpus module provides multimodal outputs. 3. The artificial intelligence platform of claim 1, wherein the Circum module (means for sensing) comprises a multisensorial priority manager, and perception engine, and an intuition engine. 4. The artificial intelligence platform of claim 2, wherein the multimodal inputs are processed by a multisensorial priority manager which thereby sends outputs to a perception engine and intuition engine. 5. The artificial intelligence platform of claim 4, wherein the multisensorial priority manager comprises a multimodal interface and a multisensorial priority engine. 6. The artificial intelligence platform of claim 5, wherein the multisensorial priority engine assigns a weight to multimodal inputs. 7. The artificial intelligence platform of claim 2, wherein the multimodal inputs are categorized by a multisensorial priority manager as explicit stimuli, non-explicit stimuli, evocative stimuli, or social stimuli and a perception engine uses a weight generated by a multisensorial priority engine and transforms non-explicit stimuli into explicit stimuli. 8. The artificial intelligence platform of claim 1, wherein the Societas module (means for providing a level of intimacy) manages access to stored information on the subject based on relationship values. 9. The artificial intelligence platform of claim 1, wherein the Societas module (means for providing a level of intimacy) comprises an identity catalogue of personal and biometric data about people identifiable by the platform, plus a permission rules and an intimacy management engine module. 10. The artificial intelligence platform of claim 1, wherein an intimacy management engine computes a total level of intimacy for the one or more interlocutors. 11. The artificial intelligence platform of claim 10, wherein a total level of intimacy is used by one or more logical elements to define an answer released to the one or more interlocutors. 12. The artificial intelligence platform of claim 1, wherein the level of intimacy is upgraded under the following conditions: if the interlocutor is unknown, information collected during dialogue can modify parameters of a social group; if the interlocutor is unknown, but the artificial intelligence platform collects sufficient data to identify him/her in a unique way; if the interlocutor is known or unknown, but he/she is endorsed by a known interlocutor with sufficient intimacy status; if the interlocutor is known, information collected during a dialogue with the interlocutor can modify parameters of a social group; if the interlocutor is known but his/her number of occurrences exceeds a defined threshold. 13. The artificial intelligence platform of claim 1, wherein an emotional reasoning engine computes an emotional status of the artificial intelligence platform by: detecting actual position in an emotional map; receiving multimodal input's stimuli, fitted and elaborated by the Circum module (means for sensing) and the Societas module (means for providing a level of intimacy); extracting by a memories repository of emotional values related at the ongoing dialogue; and computing a next position in the emotional map function of actual position, emotional values received from the Circum module (means for sensing), emotional values received from the Societas module (means for producing a level of intimacy), and emotional values extracted from the memory repository. 14. The artificial intelligence platform of claim 1, wherein memories are stored in a memory repository. 15. The artificial intelligence platform of claim 14, wherein the memory repository and memories extraction are based on the following levels of information: data necessary for contextualizing a memory comprising a timestamp of memory insertion, localization, age of the subject, taxonomic classification of the memory, connection with other memories and references to different topics; a biographical memory comprising the subject's sentences, the subject's narration of an experience, external documents, videos, images, verbal audios and music; sensorial stimuli comprising smells, sounds, taste, flavor descriptions and tactile descriptions; identified people involved in a memory and their affiliation, at a relationship level, to specific socio/demographic groups; and emotional, ethical and moral values and tags. 16. The artificial intelligence platform of claim 1, wherein the Animus module (means for storing memories and deciding an answer) comprises a moral and ethical inferential engine (including ethical and religious rules fitted on the subject) and a decisional engine. 17. The artificial intelligence platform of claim 1, wherein a decisional engine is configured to compute a correct answer to an interlocutor inquiry. 18. The artificial intelligence platform of claim 17, wherein the decisional engine is configured to compute a correct answer based on: the multimodal inputs processed from the Circum module (means for sensing) and the Societas module (means for providing a level of intimacy); data from the moral and ethical module; emotional values computed by the emotional reasoning engine; and the subject's memories and biography. 19. The artificial intelligence platform of claim 1, wherein a moral and ethical inferential engine applies a sentiment analysis on sentences to evaluate positive or negative relevance of multimodal inputs and related memories. 20. The artificial intelligence platform of claim 17, wherein the decisional engine computes a best answer through the following process: filtering verbal stimuli by means of subjective NLP from the Loquor module (means for expressing); translating non-verbal stimuli in textual descriptions from the Circum module (means for sensing); recalling memories from the intuition engine; finding and selecting memories that satisfy the stimuli through the use of semantic analysis based on texts, tags and/or descriptions; and performing a computation to identify the best answer based on the selected memories. 21. The artificial intelligence platform of claim 1, wherein a decisional engine performs a computation to identify a best answer based on selected memories by comparing output of other logical elements with the following attributes of each selected memory: the total level of intimacy; the outputs of the Societas module (means for providing a level of intimacy); and the outputs of the moral and ethical inferential engine. 22. The artificial intelligence platform of claim 21, wherein: the total level of intimacy establishes which of the selected memories are compatible with the one or more interlocutors; the outputs of the Societas module (means for providing a level of intimacy) allow it to obtain the emotional status of the artificial intelligence platform related to the multimodal inputs and related to each memory adopted as a possible answer; and the outputs of the moral and ethical inferential engine permit it to recognize the moral and ethical values related to the multimodal inputs. 23. The artificial intelligence platform of claim 1, wherein the Loquor module (means for expressing) comprises a subjective natural language generation service. 24. The artificial intelligence platform of claim 23, wherein the subjective natural language generation service comprises: a library of phonemes; a library of facial expressions; prosody maps; idiom maps; and jargon maps.