Abstract: Disclosed is a system and a method for engagement of human agents for decision-making in a dynamically changing environment. An information request related to a problem requiring a decision is received. Further, problem data comprising metadata associated to the problem, and decision-making data is received. Then, an information type is determined for the information request. Subsequently a set of human agents from a list of one or more human agents is determined using an engagement model. Further, a request elicitation type is determined for the set of human agents using an elicitation model. Further, an input is received from the set of human agents. Further, the input is used to retrain the engagement model and the elicitation model. Finally, the decision-making data is continuously enhanced based on the input received, the request elicitation type, and the information type.

Abstract: Disclosed is a system and a method for engagement of human agents for decision-making in a dynamically changing environment. An information request related to a problem requiring a decision is received. Further, problem data comprising metadata associated to the problem, and decision-making data is received. Then, an information type is determined for the information request. Subsequently a set of human agents from a list of one or more human agents is determined using an engagement model. Further, a request elicitation type is determined for the set of human agents using an elicitation model. Further, an input is received from the set of human agents. Further, the input is used to retrain the engagement model and the elicitation model. Finally, the decision-making data is continuously enhanced based on the input received, the request elicitation type, and the information type.

Abstract: Disclosed is a system and a method for collaborative decision making in dynamically changing environment. A query corresponding to a problem is received from a user. Further, one or more intermediate steps required to reach a decision is calculated based on metadata associated to the problem. A decision-making flow is established for the one or more intermediate steps required to reach the decision. It may be noted that the decision-making flow corresponds to a sequence for execution of the one or more intermediate steps. Further, a decision space comprising one or more decision options is generated. The decision space is dynamically modified based on one or more uncertain events. A decision knowledge graph depicting modifications in the decision space is generated. Further, the decision space and the decision knowledge graph are updated. Finally, the decision is selected based on the updated decision knowledge graph and the updated decision space.