Assured Neuro Symbolic Learning and Reasoning (ANSR)
Closed Pre-Solicitation Posted
- Solicitation number
- HR001122S0039
- Agency
-
Defense Advanced Research Projects Agency
Department of Defense
- Responses due
- Set-aside
- No set-aside
Opportunity facts
Notice details come from SAM.gov. Updated .
About this opportunity
The Defense Advanced Research Projects Agency seeks proposals through solicitation HR001122S0039 to advance hybrid artificial intelligence algorithms integrating symbolic reasoning and machine learning for the Assured Neuro Symbolic Learning and Reasoning program. The goal is to demonstrate techniques on Department of Defense mission-relevant scenarios requiring assured autonomy. Proposals are due by July 26, 2022 and will be evaluated based on metrics for trustworthiness, robustness, and mission performance across four technical areas including algorithms, assurance methods, platforms, and evaluation.
There is no set-aside designation. Potential awards include contracts, cooperative agreements or other transactions up to three years in duration for multiple awardees in each technical area. Key details include exploring diverse hybrid AI architectures acquiring both statistical and symbolic knowledge through learning to improve autonomous system assurance and performance on dynamic defense applications.
Notice text
The overarching goal of the ANSR program is to advance hybrid AI algorithms, and develop evidence-based techniques that support confident assurance judgments for these algorithms. The program intends to explore diverse hybrid architectures that can be seeded with prior knowledge, acquire both statistical and symbolic knowledge through learning, and adapt learned representations. The program intends to demonstrate and evaluate hybrid AI techniques through DoD mission relevant use-cases where assurance and autonomy are mission critical.
Files
| File | Type | Posted |
|---|---|---|
| HR001122S0039-Amendment-01.pdf | ||
| HR001122S0039.pdf | ||
| BAA_ANSR_Proposer_Overview_Chart.pptx | PPTX presentation |
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