Decentralized Artificial Intelligence through Controlled Emergence (DICE)

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.

• NAICS541715
• PSCAC11

• CF_Other_Support_Sample.docx

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• Associate_Contractor_Agreement.docx

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• CF_Biographical_Sketch_Sample.docx

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• DICE_CUIG_APR_2026_v1.0.pdf

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• P4_-_DARPA_Standard_Cost_Proposal_Spreadsheet.xlsx

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• CF_Other_Support.pdf

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• P2_-_DICE_Volume_II_Template.docx

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• CF_Biographical_Sketch.pdf

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• P3_-_DICE_Proposal_Summary_Slide_Template.pptx

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• HR001126S0010-Amendment-01.pdf

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• A1_-_DICE_Abstract_Template.docx

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• P1_-_DICE_Volume_I_Template.docx

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• HR001126S0010.pdf

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• BAA Coordinator
  dice@darpa.mil