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Proceedings Paper

Categorification of the layered sensing construct
Author(s): Kirk Sturtz; Jared Culbertson; Mark E. Oxley; Steven K. Rogers
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Paper Abstract

We propose a mathematical formulation for a layered sensing architecture based on the theory of categories that will allow us to abstractly define agents and their interactions in such a way that we can treat human and machine (or systems of these) agents homogeneously. One particular advantage is that this general formulation will allow the development of multi-resolution analyses of a given situation that is independent of the particular models used to represent a given agent or system of agents. In this paper, we define the model and prove basic facts that will be fundamental in future work. Central to our approach is the integration of uncertainty into our model. Such a framework is necessitated by our desire to define (among other things) measures of alignment and efficacy for systems of heterogeneous agents operating in a diverse and complex environment.

Paper Details

Date Published: 20 May 2011
PDF: 11 pages
Proc. SPIE 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V, 80590D (20 May 2011); doi: 10.1117/12.886121
Show Author Affiliations
Kirk Sturtz, Universal Mathematics (United States)
Jared Culbertson, Air Force Research Lab. (United States)
Mark E. Oxley, Air Force Institute of Technology (United States)
Steven K. Rogers, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8059:
Evolutionary and Bio-Inspired Computation: Theory and Applications V
Misty Blowers; Teresa H. O'Donnell; Olga Lisvet Mendoza-Schrock, Editor(s)

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