SAM #DARPA-SN-26-65

DARPA Solicitation for Decentralized AI Coordination and Control (DICE Program)

This opportunity is a DARPA solicitation for the Decentralized Artificial Intelligence through Controlled Emergence (DICE) program: - Agency: Defense Advanced Research Projects Agency (DARPA), Arlington, VA - Objective: Develop theory and algorithms for decentralized coordination and local inference control in AI systems - Focus on scalable, adaptive, and resilient collectives of heterogeneous AI agents - Enable autonomous, long-duration missions in contested environments - Maintain human oversight and predictable collective behavior - Scope: Advanced research and development services in decentralized AI, not procurement of specific products - No OEMs, part numbers, or product quantities specified - Unique requirements include decentralized self-organization, scalable AI, and alignment with intended outcomes - Place of performance/contracting office: DARPA, 675 North Randolph Street, Arlington, VA - No period of performance or estimated contract value provided

Description

The DICE program seeks 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 human control. In contrast to small-scale, rigid, and fragile centralized orchestration or the high-risk unpredictable nature of ad hoc compositions of AI agents, DICE aims to harness the scalability and adaptability of self-organizing systems while minimizing risks and ensuring that the collective behavior remains predictable and aligned with intended outcomes. This approach mirrors the principles of decentralized self-organization that underpin the internet's own scalability and resilience, where robust global behavior emerges from simple, local rules.

View original listing