Decentralized Artificial Intelligence through Controlled Emergence (DICE)
- Response deadline
- Aug 25, 2026 Due in 39 days
- Date posted
- Jun 10, 2026
- Source
- Open notice
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.
Classifications
Documents (12)
- DownloadCF_Other_Support_Sample.docx.docx41 KB
- DownloadAssociate_Contractor_Agreement.docx.docx45 KB
- DownloadCF_Biographical_Sketch_Sample.docx.docx34 KB
- DownloadDICE_CUIG_APR_2026_v1.0.pdf.pdf232 KB
- DownloadP4_-_DARPA_Standard_Cost_Proposal_Spreadsheet.xlsx.xlsx373 KB
- DownloadCF_Other_Support.pdf.pdf378 KB
- DownloadP2_-_DICE_Volume_II_Template.docx.docx47 KB
- DownloadCF_Biographical_Sketch.pdf.pdf324 KB
- DownloadP3_-_DICE_Proposal_Summary_Slide_Template.pptx.pptx273 KB
- DownloadA1_-_DICE_Abstract_Template.docx.docx48 KB
- DownloadP1_-_DICE_Volume_I_Template.docx.docx60 KB
- DownloadHR001126S0010.pdf.pdf1.3 MB
Contacts
- BAA Coordinator