Accession Number:

AD1076431

Title:

Meshing Capability and Threat-based Science and Technology (S and T) Resource Allocation

Descriptive Note:

[Technical Report, Technical Report]

Corporate Author:

Stevens Institute of Technology

Personal Author(s):

• Lipizzi, Carlo
• Verma, Dinesh
• Korfiatis, George
• Borrelli, Dario
• Capela, Fernanda
• Clifford, Megan
• Desai, Prasad
• Giffin, Ralph
• Hespelt, Steven
• Hoffenson, Steven
• Kanchi, Sravanthi
• Khan, Mohammed
• McDermott, Thomas
• Pepe, Kara
• Ramirez-Marquez, Jose
• Sa, Pedro
• Saremi, Razieh
• Yan See Tao, Hoong
• Shankar, Rohit
• Yu, Zhongyuan

Report Date:

2019-06-30

Pagination or Media Count:

56

Abstract:

This final technical report summarizes the work performed through the Systems Engineering Research Center SERC Research Task RT 203- Meshing Capability and Threat-based Science and Technology S and T Resource Allocation from April 2018 to June 2019. This research project focused on providing a computational model to support the planning cycle that will inject relevant threat-based intelligence and operational scenarios into the more traditional capabilities-based model. This approach will better inform the technical communities charged with developing future weapons systems and have been piloted in late 2016 at the U.S. CCDCAC in the armament-systems domain.

Descriptors:

• cognitive science
• computational science
• artificial neural networks
• computers
• computer languages
• computer programming
• supervised machine learning
• data mining
• information systems
• machine learning
• computer programs
• information science
• artificial intelligence
• systems engineering
• artificial intelligence software
• data science
• databases
• natural language computing
• operating systems
• programming languages

Subject Categories:

• Computer Programming and Software

Distribution Statement:

[A, Approved For Public Release]