Decentralized Artificial Intelligence through Controlled Emergence (DICE) Proposers Day
Closed Special Notice Posted
- Solicitation number
- DARPA-SN-26-72
- Agency
-
Defense Advanced Research Projects Agency
Department of Defense
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Points of contact
Notice details come from SAM.gov. Updated .
About this opportunity
This Special Notice announces a Proposers Day event for the Defense Advanced Research Projects Agency's (DARPA) Decentralized Artificial Intelligence through Controlled Emergence (DICE) program, sponsored by DARPA's Information Innovation Office. The hybrid event is scheduled for May 29, 2026, from 9:00 AM to 5:00 PM Eastern Time, with both in-person attendance at the Executive Conference Center in Arlington, Virginia, and virtual participation available via Zoom. Registration is free and must be completed by May 19, 2026, at 5:00 PM ET through the designated online registration portal. The notice clarifies that this is not a formal solicitation, and no submissions will be accepted against this notice; any formal solicitation will be posted on SAM.gov. The Proposers Day is designed to provide potential proposers with program overview information, direct engagement with DARPA leadership, and Q&A opportunities.
The DICE program aims to develop theory and algorithms for decentralized coordination and local inference control to enable scalable, adaptive, and resilient collectives of heterogeneous AI agents capable of executing sustained long-duration missions in contested environments while remaining under human control. The event will feature presentations by DARPA Program Manager Susmit Jha, support office representatives, and optional 10-minute individual sidebar sessions with the PM (limited to in-person attendees). In-person attendance is capped at 136 participants on a first-come, first-served basis, with a maximum of three representatives per organization unit and five per overall organization. Non-U.S. citizens must submit either DARPA Form 60 or an Official Visit Request from their respective embassy by the registration deadline. All interested parties are welcome to participate, though attendance is voluntary and not required to submit a future proposal.
Notice text
2 versions
Update #2 · Latest ·
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.
Update #1 ·
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.
Files
| File | Type | Posted |
|---|---|---|
| DARPA-SN-26-72.pdf | ||
| DARPA-SN-26-72.pdf |
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