Decentralized Artificial Intelligence through Controlled Emergence (DICE)
This DARPA program (DICE) seeks to develop theory and algorithms for decentralized coordination of heterogeneous AI agents that can operate under human control in contested environments. Eligibilit…
- Deadline
- Aug 25, 2026
- Posted
- Jun 10, 2026
- Award amount
- Amount not specified
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In plain English
This DARPA program (DICE) seeks to develop theory and algorithms for decentralized coordination of heterogeneous AI agents that can operate under human control in contested environments. Eligibility is broad in principle: all responsible sources capable of meeting the government's needs may submit a proposal, subject to the detailed rules in the BAA, so research organizations and companies may apply. No specific award amount is stated; the deadline is August 25, 2026. Review the BAA for full eligibility and proposal requirements.
AI-generated summary to help you decide quickly — verify the official eligibility rules before applying.
Who can apply
All responsible sources capable of satisfying the Government's needs may submit a proposal that shall be considered by DARPA. See the Eligibility Information section of the BAA for more information.
About this grant
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.
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