Abstract: The disclosure generally related to a learning-based modelling of an emergent behavior of a complex system. Existing decision-making at complex systems primarily relies on qualitative approaches, which often results in inaccurate outputs. The disclosed system includes a digital twin of the complex system and a digital twin of an environment of said complex system, and captures an interaction and dynamic behavior of agents of the digital twins. The agents of the digital twins are simulated and modelled using learning-based models such as RL and genetic algorithms that learns the behavior (i.e. actions and their outcomes) over a period of time. Hence, the agents (or actors) of the digital twins are dynamic in nature. The actor-based bottom up simulation approach is capable of producing sufficient insight for effective decision making prior to implementation.

Abstract: A method and a system for pre-emptive deviation detection for a telecom process flow using digital twin. The proposed method and system pre-emptively detects critical failures in the telecom process flow even before they occur by pre-emptively detecting deviations based on digital twin. The proposed pre-emptive deviation is dynamically detected based on digital twin wherein, a simulated digital twin of telecom process flow is compared with a simulated predicted telecom process flow. Further based on pre-emptively detected deviation, notifications are displayed to execute preventive measures to ensure critical failures are avoided.

Abstract: A method and a system for pre-emptive deviation detection for a telecom process flow using digital twin. The proposed method and system pre-emptively detects critical failures in the telecom process flow even before they occur by pre-emptively detecting deviations based on digital twin. The proposed pre-emptive deviation is dynamically detected based on digital twin wherein, a simulated digital twin of telecom process flow is compared with a simulated predicted telecom process flow. Further based on pre-emptively detected deviation, notifications are displayed to execute preventive measures to ensure critical failures are avoided.