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
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
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AI Contract Overview
The contract focuses on the development of the DICE program, which aims to create theories and algorithms for decentralized coordination and local inference control to build a scalable, adaptive, and resilient network of heterogeneous AI agents. This network is designed to autonomously carry out long-duration missions in contested environments while maintaining human oversight. Unlike traditional centralized AI orchestration, which is often small-scale and fragile, or ad hoc AI compositions that are unpredictable, the DICE program seeks to leverage the principles of decentralized self-organization to produce predictable, aligned, and robust collective behavior. This approach is inspired by the internet’s scalable and resilient framework, where complex global behavior emerges from simple local interactions. The solicitation, issued by the Defense Advanced Research Projects Agency (DARPA) under the Department of Defense, was posted on April 29, 2026, with a response deadline of May 19, 2026. It is categorized under NAICS code 541715 and involves a special notice type of solicitation. The program is managed by an office based in Arlington, Virginia, and inquiries can be directed to a designated solicitation coordinator via email. The contract emphasizes innovation in decentralized AI systems to enhance operational effectiveness in contested and dynamic environments while ensuring traceability and control of AI behavior by humans.
General Info
Agency
NAICS
Place of Performance
VASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full 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.
