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Proceedings Paper

A Java implementation of the probabilistic argumentation system for data fusion in missile defense applications
Author(s): Moses W. Chan; Terri N. Hansen; Paul-Andre Monney; Todd L. Baker
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Paper Abstract

In missile defense target recognition applications, knowledge about the problem may be imperfect, imprecise, and incomplete. Consequently, complete probabilistic models are not available. In order to obtain robust inference results and avoid making inaccurate assumptions, the probabilistic argumentation system (PAS) is employed. In PAS, knowledge is encoded as logical rules with probabilistically weighted assumptions. These rules map directly to Dempster-Shafer belief functions, which allow for uncertainty reasoning in the absence of complete probabilistic models. The PAS can be used to compute arguments for and against hypotheses of interest, and numerical answers that quantify these arguments. These arguments can be used as explanations that describe how inference results are computed. This explanation facility can also be used to validate intelligent information, which can in turn improve inference results. This paper presents a Java implementation of the probabilistic argumentation system as well as a number of new features. A rule-based syntax is defined as a problem encoding mechanism and for Monte Carlo simulation purposes. In addition, a graphical user interface (GUI) is implemented so that users can encode the knowledge database, and visualize relationships among rules and probabilistically weighted assumptions. Furthermore, a graphical model is used to represent these rules, which in turn provides graphical explanations of the inference results. We provide examples that illustrate how classical pattern recognition problems can be solved using canonical rule sets, as well as examples that demonstrate how this new software can be used as an explanation facility that describes how the inference results are determined.

Paper Details

Date Published: 12 April 2004
PDF: 11 pages
Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); doi: 10.1117/12.541136
Show Author Affiliations
Moses W. Chan, Lockheed Martin Space Systems Co. (United States)
Terri N. Hansen, Lockheed Martin Space Systems Co. (United States)
Paul-Andre Monney, Lockheed Martin Space Systems Co. (United States)
Todd L. Baker, Lockheed Martin Space Systems Co. (United States)


Published in SPIE Proceedings Vol. 5434:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004
Belur V. Dasarathy, Editor(s)

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