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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

Displaying 205171 - 205180 of 207712 results
  1. Soar-Longevity: A Sustainable Autonomic Architecture for Organically Reconfigurable Computing Systems

    SBC: SOAR TECHNOLOGY, LLC            Topic: SB072009

    Soar Technology proposes the Soar-Longevity autonomic architecture for self-adapting sustainable performance. Soar-Longevity utilizes a two-tiered approach to synergize lower-level organic computing elements and upper-level cognitive supervisory elements. Soar Technology’s Cognitive Layer monitors the organic computing elements with respect to mission performance specifications. The Cognitive ...

    SBIR Phase I 2007 Department of DefenseDefense Advanced Research Projects Agency
  2. Pedagogically Adaptive Scenarios for Training – Automated! (PAST-A!)

    SBC: SOAR TECHNOLOGY, LLC            Topic: AF081013

    Soar Technology proposes to build PAST-A! (Pedagogically Adaptive Scenarios for Training – Automated!), a tool to generate and deliver training scenarios that not only target specific training objectives, but can provide trainees with the deliberate practice needed to support skill acquisition. PAST-A! enables trainers to create scenarios by specifying desired training characteristics and scena ...

    SBIR Phase I 2008 Department of DefenseAir Force
  3. Predictive OPFORS for Planning and Simulation (PROPS)

    SBC: SOAR TECHNOLOGY, LLC            Topic: A06210

    The need for automation within the US Army’s intelligence collection processes is a well known problem. Intelligence teams do not have the tools to support dynamic battlefield situation management and prediction – two processes that are required for effective and efficient intelligence gathering. The Predictive OPFOR for Planning and Simulation (PROPS) system addresses this need by providing ...

    SBIR Phase II 2007 Department of DefenseDefense Advanced Research Projects Agency
  4. Task Examination/Aggregation/Learning (TEAL) to Support Adjustable Autonomy

    SBC: SOAR TECHNOLOGY, LLC            Topic: A06202

    Future Combat Systems are envisioned as a networked system of systems that will integrate tomorrow’s soldier with families of manned and unmanned platforms and sensors. However, tele-operated and pre-FCS legacy systems will need to be upgraded to be sophisticated and “intelligent” enough to interact within FCS. A practical pathway to achieve such upgrades is to add the required functionality ...

    SBIR Phase II 2007 Department of DefenseArmy
  5. Enhancing Computer Generated Forces (CGFs) for Air Traffic Control Interaction

    SBC: SOAR TECHNOLOGY, LLC            Topic: A06188

    Although the Army uses airborne computer generated forces (CGFs) in simulation environments, most CGFs are not autonomous or interactive enough to be directed by a controller. Full simulation capability requires detailed, doctrinally correct CGFs that can be controlled directly by airspace managers. Further, simply introducing a controller-interaction capability into a single existing CGF system ...

    SBIR Phase II 2007 Department of DefenseArmy
  6. Sousa: Composing and Conducting Battle Command Services

    SBC: SOAR TECHNOLOGY, LLC            Topic: A07105

    Soar Technology is teaming with Drexel University to develop Sousa, a multi-agent system that assists signal officers by automating the task of composing Battle Command (BC) services into data flows and conducting the flow of data for initialization. Sousa decomposes the task into sub-tasks that are each handled by an intelligent software agent as part of a multi-agent system. The overall system i ...

    SBIR Phase I 2007 Department of DefenseArmy
  7. Genetically Actualized Models of Behavior for Insurgent Tactics (GAMBIT)

    SBC: SOAR TECHNOLOGY, LLC            Topic: OSD07T005

    Soar Technology proposes to improve the efficacy of existing combat simulations by introducing a more realistic computer-generated adversary (OPFOR). To do this, we introduce GAMBIT - a novel system for dynamically generating and implementing asymmetric tactics supported by the use of genetic algorithms. Using GAMBIT, asymmetric tactics are generated offline given the initial conditions of a scena ...

    STTR Phase I 2007 Department of DefenseNavy
  8. IMPACT: Intelligent Modeling for Pedagogically-Aware Cultural Training

    SBC: SOAR TECHNOLOGY, LLC            Topic: OSD06CR8

    Soar Technology proposes to build IMPACT (Intelligent Modeling For Pedagogically-Aware Cultural Training), a sophisticated, agent-based system to enable immersive, realistic practice environments for cultural training. IMPACT features a robust student model that represents a broad matrix of culturally appropriate skills and an intelligent director agent that uses the student model to provide perfo ...

    SBIR Phase II 2008 Department of DefenseAir Force

    SBC: SOAR TECHNOLOGY, LLC            Topic: N08117

    Current military M&S systems for training and experimentation rely on encoded human behavior models (HBMs) that must be produced and maintained by teams of subject matter experts (SMEs) and professional knowledge engineers (KEs) in an arrangement that can be time-consuming and expensive. The programming by demonstration (PBD) and machine learning paradigms offer solutions, but are not without cha ...

    SBIR Phase I 2008 Department of DefenseNavy
  10. Knowledge-Rich Agents for Modeling Naval C3

    SBC: SOAR TECHNOLOGY, LLC            Topic: N07196

    Current traditional warfare assessment simulations have been criticized for their simplistic modeling of command and control behavior, often resulting in inappropriate reactions to complex tactical situations, which can produce erroneous simulation results. Soar Technology, in partnership with Rolands & Associates, proposes to address this problem in the specific context of the Naval Simulation Sy ...

    SBIR Phase I 2008 Department of DefenseNavy
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