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This Government Contract opportunity from Department Of Defense was posted on April 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Decentralized Artificial Intelligence through Controlled Emergence (DICE) Proposers Day

Closed
DARPA-SN-26-72Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715
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Defense Advanced Research Projects Agcy

POSTED

1 day ago

DEADLINE

in about 2 months

AI Contract Overview

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The DICE program, formally announced through DARPA-SN-26-72, aims to advance the foundational theory and algorithms for decentralized coordination and local inference control in heterogeneous AI agent collectives, enabling them to autonomously perform long-duration missions in contested environments while remaining under human oversight. Unlike traditional centralized orchestration or uncontrolled ad hoc agent compositions, DICE seeks to create scalable, adaptive, and resilient systems through controlled emergence—leveraging principles of self-organization akin to the internet’s decentralized architecture. The program emphasizes predictability and alignment with commander’s intent, ensuring collective behavior remains stable and purposeful even under adversarial conditions or agent failure. All technical validation will occur exclusively in simulation environments, with deliverables including a validated decentralized AI architecture, local inference control mechanisms, and performance demonstrations showing superiority over existing approaches. Participation in the associated Proposers Day is limited to five individuals per organization, with no more than three per organizational unit, and requires registration by May 19, 2026. Non-U.S. attendees must submit DARPA Form 60 or an official embassy visit request, along with valid identification, while all participants must avoid submitting classified material. The notice is strictly informational and does not constitute a solicitation; no contract clauses, evaluation factors, pricing details, performance periods, or award mechanisms are defined here. Formal proposals, if solicited, will be issued through SAM.gov at a later date, and any future contract will specify requirements for security clearances, organizational conflict of interest, key personnel, and technical evaluation criteria. The contracting office is located in Arlington, Virginia, under the Office of the Defense Advanced Research Projects Agency, with administrative inquiries directed to [email hidden].

General Info

Develop decentralized AI network for adaptive, resilient missions with human oversight, DARPA contract.

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

VA

Set-Aside

NONE

Documents

2

DARPA SN-26-72 DICE Proposers Day Special Notice

PDF, High priority: read this firstspecial-notice
High

DARPA-SN-26-72.pdf

PDF

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Timeline

1 update
PhaseClosed
Posted

event

Notice updated

Response deadline time changed from 12:00 PM UTC to 9:00 PM UTC on May 19, 2026. The notice description changed.

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Advanced Research Projects Agcy
Contacts1 person available
OfficeARLINGTON, VA, 222032114, USA
Office AddressARLINGTON, VA, 222032114, USA

Full Description

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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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Solicitation # DARPARA2701
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POSTED

5 days ago

DEADLINE

in 3 months
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