MUMBAI, India, June 27 -- Intellectual Property India has published a patent application (202321087109 A) filed by Tata Consultancy Services Limited, Maharashtra, on Dec. 20, 2023, for 'systems and methods for optimizing performance of artificial intelligence (ai) agents.'
Inventor(s) include Sivakumar, Narendran; Viswanathan, Sankaranarayanan; Kannan, Radhika; and Ramasamy Venkada, Subramanian.
The application for the patent was published on June 27, under issue no. 26/2025.
According to the abstract released by the Intellectual Property India: "Black-Box Optimization (BBO) approaches have found optimal policies for systems that interact with environments with no analytical representation and that are complex in nature. However, such approaches are overlooked in AI tasks related aspects. Present disclosure provides systems and methods for optimizing the performance of artificial intelligence (AI) agents. The AI agents are generated based on NLP data and tasks received as inputs to the system. The AI agents are then evaluated and selected based on associated aggregated interpretability score. At least a subset of AI agents is mapped to corresponding tasks based on the associated aggregated interpretability score and by meta-learning techniques. The AI agents deployed to perform the mapped tasks are then optimized based on a dynamic prediction of an effectiveness of one or more associated metric weightings, thus obtaining an optimized chain of AI agents."
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