Inference enterprise models: An approach to organizational performance improvement
Abstract
We demonstrate that our success in solving a set of increasingly complex challenge problems is associated with an inference enterprise (IE) using inference enterprise models (IEMs). As part of a sponsored research competition, we created a multimodeling inference enterprise modeling (MIEM) process to achieve winning scores on a spectrum of challenge problems related to insider threat detection. We present in general terms the motivation for and description of our MIEM solution. We then present the results of applying MIEM across a range of challenge problems, with a detailed illustration for one challenge problem. Finally, we discuss the science and promise of IEM and MIEM, including the applicability of MIEM to a spectrum of inference domains.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 27, 2018
- Source ID
- 10.1002/widm.1277
Entities
People
- Daniel W. Hudson
- David P. Brown
- Dennis. M. Buede
- Elise T. Axelrad
- Jordan L. Thomas
- Kathryn B. Laskey
- Paul J. Sticha
Organizations
- George Mason University
- Human Resources Research Organization
- Intelligence Advanced Research Projects Activity