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Decentralized Artificial Intelligence through Controlled Emergence (DICE)

DARPA - Information Processing Technologies Office · Other Federal · HR001126S0010

Source: Grants.gov · View original posting ↗

Award
Amount not listed
Deadline
Aug 25, 2026
Letter of intent
Mechanism
Duration
Expected awards
Funding cycle
Unknown
Open date
Jun 10, 2026
Total funding
Clinical trial
Unspecified
Other

Research areas

Prevention & risk factors

Auto-classified from the title and description (keyword-based) — may be imperfect.

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.

Data notes: award amount not published in the source feed.