Theoretical Framework for Controlled Emergence

The contract seeks to establish a theoretical framework for controlled emergence in artificial intelligence systems, drawing inspiration from robust, self-organizing networks like the internet to achieve predictable and mission-aligned collective behavior. The research must develop mathematical and theoretical foundations that enable the design of AI systems where complex, coordinated outcomes arise from decentralized interactions, while maintaining control over the emergent properties to ensure alignment with strategic objectives. This work requires rigorous modeling of system dynamics, stability constraints, feedback mechanisms, and scalability principles to translate biological and network-inspired self-organization into deterministic AI architectures. The effort is classified as a subcontract under the NAICS code 541715, indicating it targets research and development in the physical, engineering, and life sciences. It was posted by the Defense Advanced Research Projects Agency under the Department of Defense with a response deadline of May 19, 2026. The performance location and point of contact details are not specified, and no set-aside provisions apply, meaning all eligible entities may respond. The goal is to deliver foundational insights that underpin the next generation of AI systems capable of autonomous coordination without compromising safety, predictability, or mission integrity.