AI-1077 - USA (Virginia) - Decentralized Artificial Intelligence Through Controlled Emergence Service - Deadline August 25,2026

(1) Vendor needs to provide decentralized artificial intelligence through controlled emergence service.– Artificial intelligence (AI), control theory, formal methods, and game theory to develop decentralized multi–agentic AI collectives.– Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems.– Decentralized Artificial Intelligence through Controlled Emergence (DICE) aims to develop the theory and algorithms for decentralized coordination and local inference control to enable a scalable, adaptive, and resilient collective of heterogeneous AI agents that can autonomously execute sustained, long–time–horizon missions in contested environments while remaining under control.– Goal is to move beyond brittle, centralized orchestration through workflows and ad hoc agent compositions of AI agents by harnessing self–organization while constraining emergent behaviour to remain predictable, doctrinally consistent, mission–aligned in adherence with user intent, and resilient to benign failures and adversarial compromise.(2) All the questions must be submitted no later than August 18, 2026.