Share Email Print
cover

Proceedings Paper

Creating goal lattices with GMUGLE
Author(s): Kenneth J. Hintz; Andrew S. Hintz
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Goal lattices are a method for ordering the goals of a system and associating with each goal the value of performing that goal in terms of how much it contributes to the accomplishment of the topmost goal of a system. Since the lowest goals in the lattice are the real, measurable actions such as sensor observations, this method associates a value of taking an action with each possible action allowing one to rank those that are mutually exclusive. This paper presents the results of using the GMU Goal Lattice Engine (GMUGLE) to enter a set of goals and relative values for a reconnaissance mission management problems. The automatic expansion of the partially ordered set of goals to form a lattice which results from the strict application of a least upper bound (lub) and greatest lower bound (glb) for each pair of goals is documented as well as the automatic creation of pseudo-goals.

Paper Details

Date Published: 31 July 2002
PDF: 9 pages
Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477629
Show Author Affiliations
Kenneth J. Hintz, George Mason Univ. (United States)
Andrew S. Hintz, Rose-Hulman Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4729:
Signal Processing, Sensor Fusion, and Target Recognition XI
Ivan Kadar, Editor(s)

© SPIE. Terms of Use
Back to Top