Decentralized Artificial Intelligence through Controlled Emergence (DICE)

DOD-DARPA-IPTO Posted HR001126S0010

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.

Eligibility

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.
Actions
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Funding Details
Award Floor
Not specified
Award Ceiling
Not specified
Total Estimated Funding
Not specified
Expected Awards
Not specified
Key Dates
Posted
June 10, 2026
Closes
August 25, 2026 23d
Archive Date
September 24, 2026
Agency Information
Agency Name
DARPA - Information Processing Technologies Office
Agency Code
DOD-DARPA-IPTO
Funding Instrument
Other