Mathematical Fundamentals of Probabilistic Semantics for High-Level Fusion
Abstract
This is the final report on the research effort performed by George Mason University, under the agreement W911NF-11-1-0176, proposal number 59841MA, entitled Mathematical Fundamentals of Probabilistic Semantics for High-Level Fusion and focused on: (a) Establishing features required of any quantitative uncertainty representation for exchanging soft and hard information in a net-centric environment; (b) Developing a set of use cases involving information exchange and fusion requiring sophisticated reasoning and inference under uncertainty; (c) Defining evaluation criteria supporting an unbiased comparison among different approaches applied to the use cases; and (d) Examining in detail how two popular formalisms, Bayesian and Dempster-Shafer, address the requirements in the context of the use cases. The proposed research aimed to establish a commonly agreed understanding of the fundamental aspects of uncertainty representation and reasoning that a theory of hard and soft high-level fusion must encompass. Successful completion requires an unbiased, in-depth analysis of the associated enabling technologies, and a formalization of its fundamental principles. Although this report covers the activities held between May 3rd, 2011, and September 2nd, 2013, the aspects already covered in the previous progress reports are not repeated here, unless some major changes were made.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 02, 2013
- Accession Number
- ADA606939
Entities
People
- Kathryn B. Laskey
- Paulo C. G. Costa
Organizations
- George Mason University