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Proceedings Paper

Combining human and machine processes (CHAMP)
Author(s): Moises Sudit; David Sudit; Michael Hirsch
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Paper Abstract

Machine Reasoning and Intelligence is usually done in a vacuum, without consultation of the ultimate decision-maker. The late consideration of the human cognitive process causes some major problems in the use of automated systems to provide reliable and actionable information that users can trust and depend to make the best Course-of-Action (COA). On the other hand, if automated systems are created exclusively based on human cognition, then there is a danger of developing systems that don’t push the barrier of technology and are mainly done for the comfort level of selected subject matter experts (SMEs). Our approach to combining human and machine processes (CHAMP) is based on the notion of developing optimal strategies for where, when, how, and which human intelligence should be injected within a machine reasoning and intelligence process. This combination is based on the criteria of improving the quality of the output of the automated process while maintaining the required computational efficiency for a COA to be actuated in timely fashion. This research addresses the following problem areas:
    Providing consistency within a mission: Injection of human reasoning and intelligence within the reliability and temporal needs of a mission to attain situational awareness, impact assessment, and COA development.
    Supporting the incorporation of data that is uncertain, incomplete, imprecise and contradictory (UIIC): Development of mathematical models to suggest the insertion of a cognitive process within a machine reasoning and intelligent system so as to minimize UIIC concerns.
    Developing systems that include humans in the loop whose performance can be analyzed and understood to provide feedback to the sensors.

Paper Details

Date Published: 27 May 2015
PDF: 11 pages
Proc. SPIE 9499, Next-Generation Analyst III, 94990M (27 May 2015); doi: 10.1117/12.2180272
Show Author Affiliations
Moises Sudit, CUBRC (United States)
Univ. at Buffalo (United States)
David Sudit, BAE Systems (United States)
Michael Hirsch, ISEA TEK (United States)
Stetson Univ. (United States)


Published in SPIE Proceedings Vol. 9499:
Next-Generation Analyst III
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)

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