MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111591 A) filed by Rajasekhar Reddy Arikatla; Subba Nelakudhiti; Rajesh Thonduru; and Sneha Valusa on September 17, 2026, for A Self-Adaptive Trust Evaluation System Using Graph Neural Networks For Autonomous Ai Collaboration.
Inventors include Rajasekhar Reddy Arikatla; Subba Nelakudhiti; Rajesh Thonduru; and Sneha Valusa.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention discloses the development of a self-adaptive trust assessment system that uses graph neural networks for autonomous AI cooperation. Building trust between AI systems is essential for productive cooperation as these systems collaborate more and more. By tracking the interactions and behaviors of AI agents over time, our approach evaluates their reliability. It ensures correct trust ratings by constantly adapting to changes in the environment and agent performance through the integration of graph neural networks. This method encourages safer and more dependable interactions while also improving cooperation among AI agents. Our system's ultimate goal is to promote a more collaborative AI ecosystem, opening the door for cutting-edge applications across a range of industries, including robotics, autonomous cars, and smart systems. For AI to collaborate effectively, trust is necessary, and our creative approach fills this gap. FIG.1
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