MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063740 A) filed by Sr University, Warangal, Telangana, on May 20, for 'system and method for real-time ai-driven adaptive strategic decision optimization using dynamic capability modeling.'
Inventor(s) include Dr. Ankur Saxena; and Prof. Gurunadham Goli.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention is related to a system and a method for real-time artificial intelligence-based adaptive strategic decision optimization through dynamic capability modeling. The system collects multi-source data in real-time from one or multiple external data sources and pre-processes the data for the analysis. A dynamic capability graph is proposed to capture the interdependencies among system variables and operational constraints. The causal digital twin simulation unit simulates predictive and counterfactual scenarios to test alternative decision strategies in different conditions. Decision policies are constantly optimized by a self-evolving policy learning engine based on reinforcement learning and meta-learning techniques. A neuro-symbolic reasoning module verifies the generated decisions for logical consistency and explainability. A real-time feedback orchestration engine updates the decision strategies dynamically based on continuous monitoring. The system also adopts a hybrid edge-cloud optimization framework to improve the computational efficiency, reduce latency and enable scalable deployment, thus providing accurate, adaptive and technically efficient decision-making in dynamic environments."
Disclaimer: Curated by HT Syndication.
