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Computational tools to support analysis and decision making
Author(s): Thomas D. Pike
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Paper Abstract

Disruptive change in the conduct of military operations occur not with the emergence of new technologies, but with the integration of the new technologies into processes of the military organization [1]. The emergence of new computational tools over the past several years represent new technologies which must be integrated into military processes in order to appropriately exploit their capabilities, with the potential for disruptive change in the conduct of military operations. To integrate these tools it is important to first to understand the computational ecosystem and how this ecosystem supports constant development of Artificial Intelligence (AI) and other computational tools. Understanding this dynamic process and how AI is really a suite of constantly improving tools, each with unique strengths and weaknesses provides the perspective necessary to properly integrate them. Understanding the dynamics and categories of computational tools allows one to overlay each tool on the appropriate places of the Joint Intelligence Process (JIP) and Joint Planning Process (JPP). Critical to this integration is not just the emergence of these new technologies but also ensuring those individuals who are applying them have the capability of basic coding to leverage these tools for the unique situations they are trying to influence. The emergence of new computational tools, as epitomized by AI, represents a new and powerful capability which must be properly integrated into military processes if they are going to be fully exploited to support analysis and decision-making.

Paper Details

Date Published: 10 May 2019
PDF: 9 pages
Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110060O (10 May 2019); doi: 10.1117/12.2518693
Show Author Affiliations
Thomas D. Pike, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 11006:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
Tien Pham, Editor(s)

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