CPC G06N 20/00 (2019.01) | 27 Claims |
14. A method for engagement of human agents for decision-making in a dynamically changing environment, the method comprising:
receiving, by a processor, an information request relating to a problem requiring a decision;
receiving, by the processor, problem data comprising metadata associated to the problem, and decision-making data;
generating, by the processor, training data comprising a plurality of information requests, problem data corresponding to the plurality of information requests, and corresponding information types for each of the plurality of information requests;
training, by the processor, an acquisition model based on the generated training data using at least one of a Natural Language Processing (NLP) algorithm, and a Natural Language Understanding (NLU) algorithm;
determining, by the processor, an information type, based on the problem data, using the acquisition model, wherein the information type is at least one of a fact, an opinion, and a judgement;
identifying, by the processor, at least one human agent from a list of one or more human agents for the information request based on the problem data, wherein the at least one human agent is identified using an engagement model;
determining, by the processor, a Request Elicitation Type (RET) for the at least one human agent based on the problem data and the information type using an elicitation model;
receiving, by the processor, an input from the at least one human agent for the information request based on the information type, and the RET; and
continuously enhancing, by the processor, the decision-making data based on the received input, the determined request elicitation type, and the determined information type.
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