Abstract
The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems by enabling genuine intellectual collaboration, scalable integration of new domains, and autonomous discovery applicable to scientific research, engineering, healthcare, and other high-complexity use cases.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
N, Chiranthan, "System and Method for Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery and Innovation", Technical Disclosure Commons, (January 04, 2026)
https://www.tdcommons.org/dpubs_series/9119