DESC:Technical field
The present invention pertains to the system for managing the emotions in the AI. More particularly it relates to the projection of emotions which is a human trait by the AI bots.

Background of the Invention
Feeling of emotion is very rudimentary quality in human evolution. We humans think, act, plan with the influence of human emotions. Human emotions at time are the very driving factors for the actions we demonstrate. The human brain also has a unique quality of memory formation which is part of the subconscious mind. This memory is triggered every time with encountering of the related instances or situations. This memory has a lion share in most of the instances of decision making in the present moment.
Artificial intelligence is the field of computer science concerned with creating a computer or other machine which can perform activities that are normally thought to require intelligence.
One subfield in this area relates to creating a computer which can mimic human behaviour, i.e., so that the computer, or a character displayed by the computer, appears to display human traits.
A substantial amount of effort has been made in this latter area, i.e., to provide a computer character which appears to display human traits. Unfortunately, however, the efforts to date have generally proven unsatisfactory for a number of reasons. Some of these are, the artificial intelligence program customized for each character, which is a costly and time-consuming process; customization of AI for specific application program; etc.
The present invention overcomes the prior art fails and provides the system for enabling more human friendly trait in the AI bots.

Object of the present invention
The present invention objects to provide the AI bot system which is capable of projecting the human trait of human emotions like trust, anger, love, hate etc.
Another object of the present invention is to provide the AI bot system which is capable of decision making based on the learning and manifestation of different human emotions.

Summary of the invention
The present invention pertains to the system for managing the emotions in the AI bots (chatbots & virtual assistants). The present invention attempts to replicate the feature of emotions which will be used in decision making using neural signature networks. Human like emotions of trust, anger, fear, craziness etc. are fed in the AI bots through formation of neural signature for each of the emotions. These neural signatures are then interconnected to form the neural signature network in the AI bot system. Every person, object, situations are mapped to unique neural signatures. . Every time a neural signature is activated all associated neural signature in relation to context is activated. During this process there is an extra neural signature representing emotions of love, hate, and good, bad, sad, happy etc. is also activated. Every emotional neural signature also has its own set of characteristics and the same are also activated as soon as that respective emotional neural signature is activated.
The present invention comprises of the AI bot system wherein the different emotions like happy, sad, anger, love, hate, trust etc. are pre-fed into the AI system with each emotion coded to form the neural signature. After the AI bot is put to work, the owner/creator first imparts the basic learning to the AI bot called as supervised learning wherein the AI bot is fed with the information regarding different circumstances and situations when these emotions are projected. This information or the supervised learning is stored in the form of neural signature wherein each learning is coded into the unique neural signature and is linked with the neural signature of particular emotion it projects. Further the AI bot is capable of perceiving the emotions through the interaction with the correspondents which is called as unsupervised learning. The AI bot with real time perceiving of the information makes the neural signature for each of the emotions encountered during the real time interaction. These neural signatures are linked with the correspondent or the object associated with the emotion. At the next instant of encountering same situations, the neural signature of all related circumstances and the emotions get triggered.

Detailed description of the Invention
The embodiment of the present invention includes the AI bots capable of displaying human emotions like trust, love, hate, anger, happiness etc. at different instances and circumstances. The emotions are fed and stored into the AI bot system and stored in the form of neural signature with each emotion encoded into unique neural signature. The AI bot is subjected to the supervised learning by its creator/owner before its actual interaction with the correspondent. In supervised learning, the AI bot is fed with the information with respect to different circumstances and situation pertaining to each of the emotion which is stored in the AI bot as the unique neural signature. The circumstances and situation displaying the specific emotions are also linked with the neural signature of that particular emotion thus forming the neural signature network.
The AI bot when put to use is also capable of storing the real time perceived information in the form of neural signature and thus forming the neural signature network. Consider a particular emotion coded as the neural signature A10002D9. The AI bot system will comprise of certain information pertaining to the situation related to the emotion neural signature A10002D9. These instances will be stored in the form of neural signatures like A200067E, A200578E, A300192D etc. The emotion neural signature A10002D9 are linked with all these instance pertaining to the said emotion. After this supervised learning, the AI bot when put to function perceives the information during real time interaction with correspondent. The AI bot system is also capable of perceiving information from the internet or other sources. This information is perceived along with the emotions associated with it which are coded to form unique neural signature. These are then linked with the neural signature of that emotion and the different instances or situations relating to that emotion which together is stored as the memory in the neural signature network. At the next instance of encountering the same emotion, all the neural signatures pertaining to the emotion and its instances are triggered to generate the appropriate output with respect to the correspondent or an object. This process is carried for each of the emotions in context to the situation or the discussion in which AI bot is involved.

Example.
An unknown man with knife is present, the AI verifies this neural signature with his past experience and in case in his past experience, he has encountered a negative result the AI had updated the emotional feeling as fear for the given neural signature. Now when the situational neural signature is activated, the emotional neural signature is also activated which in this example is fear and the neural signatures related to fear like fight or flight response will also be activated.
Emotional neural signatures are updated on a real time basis as per the interaction of AI bot with the correspondent. The AI Bot might choose to take a decision based on the current Emotion or may choose to ignore the same and take decision based on logic with context to the situation in hand. Most of the neural signature would have an emotion neural signature attached to the main neural signature.
This would help the AI to represent its own emotion based on the context of discussion. This is a great step towards creating artificial conscious mind.
,CLAIMS:We claim:
1. An AI bot comprising of:
a. a system for managing the emotions as in humans;
b. a system for projection of said human emotions;
wherein the said human emotions are coded and stored in the form of neural signature.
2. A system as claimed in claim 1 wherein, the said human emotions are fed into the AI bot system through supervised learning by the Bot owner.
3. A system as claimed in claim 2 wherein, the supervised learning includes the learning of different circumstances and situations pertaining to every type of human emotions.
4. A system as claimed in claim 3 wherein, the type of emotions may include emotions such as love, anger, hate, happiness, fear, trust and like.
5. A system as claimed in claim 1 wherein, the circumstances and situations pertaining to every emotions are coded to form neural signature and linked to form the neural signature network.
6. A system as claimed in claim 1 wherein, the said AI bot system is capable of learning and perceiving the information pertaining to emotions in the real time during interaction with a user/correspondent.
7. A system as claimed in claim 1 wherein, the said AI bot is capable of storing the perceived information pertaining to different emotions in the form of neural signature network to form a memory.
8. A system as claimed in claim 7 wherein, the said memory is triggered with encountering of same emotion and situation at the next instant.
9. A system as claimed in claim 8 wherein, the said memory triggering facilitates the appropriate emotional reaction by the AI bot to the given circumstance and/or situation encountered.