A method of inferring intent in a hybrid network includes monitoring communications in the hybrid network between a plurality of members, triggering an estimation of an intent of one or more members of the hybrid network, estimating the intent, determining a confidence level of the intent, and triggering an action based on the confidence level.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system comprising: a hybrid network comprising a plurality of members; and a social prosthetic system monitor monitoring communications between the members of the hybrid network and triggering an estimation of an intent of one or more members of the hybrid network, estimating the intent and determining a confidence level of the intent, and triggering an action based on the confidence level. 2. The system of claim 1, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability. 3. The system of claim 2, wherein the at least one user interfaces with the hybrid network via a communications device. 4. The system of claim 2, wherein the intent is estimated for at least one of, the at least one user, the at least one artificial intelligence agent, and an amalgam of the at least one user and the at least one artificial intelligence agent. 5. A method of inferring intent in a hybrid network comprising: monitoring communications in the hybrid network between a plurality of members; triggering an estimation of an intent of one or more members of the hybrid network; estimating the intent; determining a confidence level of the intent; and triggering an action based on the confidence level. 6. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: monitoring a query made by the at least one user to the at least one artificial intelligence agent; and triggering the estimation of the intent using a parameter of the at least one user. 7. The method of claim 6, wherein the at least one user interfaces with the hybrid network via a communications device. 8. The method of claim 6, further comprising predicting an output of the at least one artificial intelligence agent by a social prosthetic system monitor, wherein the action is the prediction. 9. The method of claim 5, wherein the intent is estimated for at least one of, the at least one user, the at least one artificial intelligence agent, and an amalgam of the at least one user and the at least one artificial intelligence agent. 10. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: monitoring a query made by the at least one user to the at least one artificial intelligence agent; and triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a degree to which members of the hybrid network affect one another. 11. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: monitoring a query made by the at least one user to the at least one artificial intelligence agent; and triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a connection within a hyrbid network between the members. 12. The method of claim 5, wherein the estimation of intent includes an analysis of a social network to which one or more of the members belongs, the analysis determining one or more of a degree centrality, a between-ness centrality, a closeness, an eigenvalue, a hub and authority. 13. The method of claim 5, wherein the triggered action includes one or more of a report, an alert, and an advice. 14. The method of claim 5, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: identifying the at least one user as a customer, wherein the intent is the intent of the customer's intent; and updating a business practice using the intent of the customer. 15. A computer program product for inferring intent in a hybrid network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: monitoring communications in the hybrid network between a plurality of members; triggering an estimation of an intent of one or more members of the hybrid network; estimating the intent; estimating the intent; determining a confidence level of the intent; and triggering an action based on the confidence level. 16. The computer program product of claim 15, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: monitoring a query made by the at least one user to the at least one artificial intelligence agent; and triggering the estimation of the intent using a parameter of the at least one user. 17. The method of claim 16, further comprising predicting an output of the at least one artificial intelligence agent by a social prosthetic system monitor, wherein the action is the prediction. 18. The method of claim 15, wherein the intent is estimated for at least one of, the at least one user, the at least one artificial intelligence agent, and an amalgam of the at least one user and the at least one artificial intelligence agent. 19. The method of claim 15, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: monitoring a query made by the at least one user to the at least one artificial intelligence agent; and triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a degree to which members of the hybrid network affect one another. 20. The method of claim 15, wherein the members include at least one user and at least one artificial intelligence agent having a natural language processing capability, the method further comprising: monitoring a query made by the at least one user to the at least one artificial intelligence agent; and triggering the estimation of the intent using a parameter of the at least one user, wherein the parameter is a connection within a hyrbid network between the members.