Provably correct design of adaptive hybrid neuro-symbolic cyber physical systems

Active Definitive Contract Awarded Last action

Contract number
FA875023C0080
Awardee
Awarding agency
Obligated
$4,236,970

Award facts

Opportunity
Contract value 78% obligated
$5,398,530.00 Current and potential, with all options
Completion date 80% complete
Current and potential, with all options
Contracting staff
Funding agency
Defense Advanced Research Projects Agency Department of Defense
Set-aside
No set-aside
Competition
Full and Open Competition · 46 offers Basic Research
Pricing
Cost No Fee
Place of performance
Berkeley, CA 94710, USA

Award details come from SAM.gov/FPDS.

Transactions

Action Obligated Date
Supplemental Agreement for work within scope P00011 · Assured neuro symbolic learning and reasoning $0
Funding Only Action P00010 · Assured neuro symbolic learning and reasoning (ANSR) $272,534
Funding Only Action P00009 $554,059
Funding Only Action P00008 $350,000
Supplemental Agreement for work within scope P00007 $0
Funding Only Action P00006 · Assured neuro symbolic learning and reasoning (ANSR) $400,000
Funding Only Action P00005 $250,000
Funding Only Action P00004 · Assured neuro symbolic learning and reasoning $729,554
Funding Only Action P00003 $100,000
Other Administrative Action P00002 $0
Funding Only Action P00001 $414,777
Original award Assured neuro symbolic learning and reasoning $1,166,046
Show all 12

About this award

The Defense Advanced Research Projects Agency awarded a definitive contract to The Regents of the University of California (University of California, Berkeley) for provably correct design of adaptive hybrid neuro-symbolic cyber-physical systems and assured neuro-symbolic learning and reasoning on June 30, 2023, with a $5.398 million ceiling under cost-no-fee pricing and no set-aside.

The originating solicitation (HR001122S0039, posted June 1, 2022) sought proposals to advance hybrid artificial intelligence algorithms integrating symbolic reasoning and machine learning for assured autonomy on Department of Defense mission-relevant scenarios. The effort encompasses safe learning design tools and algorithms, compositional neuro-symbolic control, verification methods for hybrid systems, and causality and debugging functionality for neuro-symbolic architectures across three phases.

Place of performance is Berkeley, California. The contract runs through August 30, 2027. Subcontractors include The Leland Stanford Junior University, University of Southern California, and The Trustees of the University of Pennsylvania, each performing specialized research contributions in neuro-symbolic safe learning, verification tool development, and causality-driven debugging for hybrid AI systems.

Subawards

Subcontractor Amount Awarded
The Leland Stanford Junior University PROVABLY CORRECT DESIGN OF ADAPTIVE HYBRID NEURO-SYMBOLIC CYBER PHYSICAL SYSTEMS Task TA 1.2 Neuro-Symbolic Safe Learning Phase 1: Symbolic methods such as… $203,697
University Of Southern California ASSURED NEURO SYMBOLIC LEARNING AND REASONING Task TA 1.2 Neuro-Symbolic Safe Learning Phase 1: Symbolic methods such as computation of Hamilton Jacobi safe… $281,373
The Trustees Of The University Of Pennsylvania ASSURED NEURO SYMBOLIC LEARNING AND REASONING Phase 1: Task TA 1.6 Compositional Neuro-Symbolic Control and Learning. Probabilistic Verification tools for… $246,733

Quick answers

Who was awarded contract FA875023C0080?

FA875023C0080 was awarded to The Regents Of The University Of California by Air Force Research Laboratory (Air Force Materiel Command) on June 30, 2023.

How much is contract FA875023C0080 worth?

The government has obligated $4,236,970 on FA875023C0080. Its current value, with exercised options, is $5,398,530.

Which agency awarded contract FA875023C0080?

Air Force Research Laboratory (Air Force Materiel Command) awarded FA875023C0080, with funding from Defense Advanced Research Projects Agency (Department of Defense).

Was contract FA875023C0080 competed?

The extent of competition for FA875023C0080 was full and open competition. The government received 46 offers.

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