Decentralized Artificial Intelligence through Controlled Emergence (DICE)
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 hu
| Agency | DARPA - Information Processing Technologies Office |
|---|---|
| Status | Posted |
| Opportunity number | HR001126S0010 |
| Posted date | 06/10/2026 |
| Application deadline | Aug 25, 2026 12:00:00 AM EDT |
| Award ceiling | none |
| Award floor | none |
| 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. |
| Assistance Listing (CFDA) | 12.910 |
| 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 |
| Agency contact | DICE@darpa.mil |
| Official listing | https://www.grants.gov/search-results-detail/362743 |